| Records |
| Author |
Henry Velesaca; Patricia Suarez; Dario Carpio; Rafael E. Rivadeneira; Angel Sanchez; Angel Morera |
| Title |
Video Analytics in Urban Environments: Challenges and Approaches |
Type |
Book Chapter |
| Year |
2022 |
Publication |
ICT Applications for Smart Cities |
Abbreviated Journal |
|
| Volume |
224 |
Issue |
|
Pages  |
101-121 |
| Keywords |
|
| Abstract |
This chapter reviews state-of-the-art approaches generally present in the pipeline of video analytics on urban scenarios. A typical pipeline is used to cluster approaches in the literature, including image preprocessing, object detection, object classification, and object tracking modules. Then, a review of recent approaches for each module is given. Additionally, applications and datasets generally used for training and evaluating the performance of these approaches are included. This chapter does not pretend to be an exhaustive review of state-of-the-art video analytics in urban environments but rather an illustration of some of the different recent contributions. The chapter concludes by presenting current trends in video analytics in the urban scenario field. |
| Address |
September 2022 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
ISRL |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-3-031-06306-0 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MSIAU; MACO |
Approved |
no |
| Call Number |
Admin @ si @ VSC2022 |
Serial |
3811 |
| Permanent link to this record |
| |
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| |
| Author |
Josep Llados; Gemma Sanchez; Enric Marti |
| Title |
A string based method to recognize symbols and structural textures in architectural plans |
Type |
Book Chapter |
| Year |
1998 |
Publication |
Graphics Recognition Algorithms and Systems Second International Workshop, GREC' 97 Nancy, France, August 22–23, 1997 Selected Papers |
Abbreviated Journal |
LNCS |
| Volume |
1389 |
Issue |
1998 |
Pages |
91-103 |
| Keywords |
|
| Abstract |
This paper deals with the recognition of symbols and structural textures in architectural plans using string matching techniques. A plan is represented by an attributed graph whose nodes represent characteristic points and whose edges represent segments. Symbols and textures can be seen as a set of regions, i.e. closed loops in the graph, with a particular arrangement. The search for a symbol involves a graph matching between the regions of a model graph and the regions of the graph representing the document. Discriminating a texture means a clustering of neighbouring regions of this graph. Both procedures involve a similarity measure between graph regions. A string codification is used to represent the sequence of outlining edges of a region. Thus, the similarity between two regions is defined in terms of the string edit distance between their boundary strings. The use of string matching allows the recognition method to work also under presence of distortion. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Link |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
LNCS |
Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; IAM |
Approved |
no |
| Call Number |
IAM @ iam @ SLE1998 |
Serial |
1573 |
| Permanent link to this record |
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| |
| Author |
Cristhian Aguilera; M.Ramos; Angel Sappa |
| Title |
Simulated Annealing: A Novel Application of Image Processing in the Wood Area |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Simulated Annealing – Advances, Applications and Hybridizations |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
91-104 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
Marcos de Sales Guerra Tsuzuki |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-953-51-0710-1 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ ARS2012 |
Serial |
2156 |
| Permanent link to this record |
| |
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| |
| Author |
Debora Gil; Oriol Ramos Terrades; Raquel Perez |
| Title |
Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution |
Type |
Book Chapter |
| Year |
2021 |
Publication |
Extended Abstracts GEOMVAP 2019, Trends in Mathematics 15 |
Abbreviated Journal |
|
| Volume |
15 |
Issue |
|
Pages |
89–93 |
| Keywords |
|
| Abstract |
Abnormalities in radiomic measures correlate to genomic alterations prone to alter the outcome of personalized anti-cancer treatments. TOPiomics is a new method for the early detection of variations in tumor imaging phenotype from a topological structure in multi-view radiomic spaces. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Nature |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
IAM; DAG; 600.120; 600.145; 600.139 |
Approved |
no |
| Call Number |
Admin @ si @ GRP2021 |
Serial |
3594 |
| Permanent link to this record |
| |
|
| |
| Author |
Carles Fernandez; Jordi Gonzalez; Joao Manuel R. S. Taveres; Xavier Roca |
| Title |
Towards Ontological Cognitive System |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Topics in Medical Image Processing and Computational Vision |
Abbreviated Journal |
|
| Volume |
8 |
Issue |
|
Pages |
87-99 |
| Keywords |
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| Abstract |
The increasing ubiquitousness of digital information in our daily lives has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance footage. This raises a series of technological demands for automatic video understanding and management, which together with the compromising attentional limitations of human operators, have motivated the research community to guide its steps towards a better attainment of such capabilities. As a result, current trends on cognitive vision promise to recognize complex events and self-adapt to different environments, while managing and integrating several types of knowledge. Future directions suggest to reinforce the multi-modal fusion of information sources and the communication with end-users. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Netherlands |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2212-9391 |
ISBN |
978-94-007-0725-2 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
ISE; 605.203; 302.018; 600.049 |
Approved |
no |
| Call Number |
Admin @ si @ FGT2013 |
Serial |
2287 |
| Permanent link to this record |
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| |
| Author |
Pau Baiget; Carles Fernandez; Xavier Roca; Jordi Gonzalez |
| Title |
Trajectory-Based Abnormality Categorization for Learning Route Patterns in Surveillance |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Detection and Identification of Rare Audiovisual Cues, Studies in Computational Intelligence |
Abbreviated Journal |
|
| Volume |
384 |
Issue |
3 |
Pages |
87-95 |
| Keywords |
|
| Abstract |
The recognition of abnormal behaviors in video sequences has raised as a hot topic in video understanding research. Particularly, an important challenge resides on automatically detecting abnormality. However, there is no convention about the types of anomalies that training data should derive. In surveillance, these are typically detected when new observations differ substantially from observed, previously learned behavior models, which represent normality. This paper focuses on properly defining anomalies within trajectory analysis: we propose a hierarchical representation conformed by Soft, Intermediate, and Hard Anomaly, which are identified from the extent and nature of deviation from learned models. Towards this end, a novel Gaussian Mixture Model representation of learned route patterns creates a probabilistic map of the image plane, which is applied to detect and classify anomalies in real-time. Our method overcomes limitations of similar existing approaches, and performs correctly even when the tracking is affected by different sources of noise. The reliability of our approach is demonstrated experimentally. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1860-949X |
ISBN |
978-3-642-24033-1 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
ISE |
Approved |
no |
| Call Number |
Admin @ si @ BFR2012 |
Serial |
2062 |
| Permanent link to this record |
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| |
| Author |
Arnau Baro; Pau Riba; Jorge Calvo-Zaragoza; Alicia Fornes |
| Title |
Optical Music Recognition by Long Short-Term Memory Networks |
Type |
Book Chapter |
| Year |
2018 |
Publication |
Graphics Recognition. Current Trends and Evolutions |
Abbreviated Journal |
|
| Volume |
11009 |
Issue |
|
Pages |
81-95 |
| Keywords |
Optical Music Recognition; Recurrent Neural Network; Long ShortTerm Memory |
| Abstract |
Optical Music Recognition refers to the task of transcribing the image of a music score into a machine-readable format. Many music scores are written in a single staff, and therefore, they could be treated as a sequence. Therefore, this work explores the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for reading the music score sequentially, where the LSTM helps in keeping the context. For training, we have used a synthetic dataset of more than 40000 images, labeled at primitive level. The experimental results are promising, showing the benefits of our approach. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
A. Fornes, B. Lamiroy |
| Language |
|
Summary Language |
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Original Title |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-3-030-02283-9 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
GREC |
| Notes |
DAG; 600.097; 601.302; 601.330; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ BRC2018 |
Serial |
3227 |
| Permanent link to this record |
| |
|
| |
| Author |
Lluis Pere de las Heras; Joan Mas; Gemma Sanchez; Ernest Valveny |
| Title |
Notation-invariant patch-based wall detector in architectural floor plans |
Type |
Book Chapter |
| Year |
2013 |
Publication |
Graphics Recognition. New Trends and Challenges |
Abbreviated Journal |
|
| Volume |
7423 |
Issue |
|
Pages |
79--88 |
| Keywords |
|
| Abstract |
Architectural floor plans exhibit a large variability in notation. Therefore, segmenting and identifying the elements of any kind of plan becomes a challenging task for approaches based on grouping structural primitives obtained by vectorization. Recently, a patch-based segmentation method working at pixel level and relying on the construction of a visual vocabulary has been proposed in [1], showing its adaptability to different notations by automatically learning the visual appearance of the elements in each different notation. This paper presents an evolution of that previous work, after analyzing and testing several alternatives for each of the different steps of the method: Firstly, an automatic plan-size normalization process is done. Secondly we evaluate different features to obtain the description of every patch. Thirdly, we train an SVM classifier to obtain the category of every patch instead of constructing a visual vocabulary. These variations of the method have been tested for wall detection on two datasets of architectural floor plans with different notations. After studying in deep each of the steps in the process pipeline, we are able to find the best system configuration, which highly outperforms the results on wall segmentation obtained by the original paper. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
|
Edition |
|
| ISSN |
0302-9743 |
ISBN |
978-3-642-36823-3 |
Medium |
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| Area |
|
Expedition |
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Conference |
|
| Notes |
DAG; 600.045; 600.056; 605.203 |
Approved |
no |
| Call Number |
Admin @ si @ HMS2013 |
Serial |
2322 |
| Permanent link to this record |
| |
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| |
| Author |
Jorge Charco; Angel Sappa; Boris X. Vintimilla; Henry Velesaca |
| Title |
Human Body Pose Estimation in Multi-view Environments |
Type |
Book Chapter |
| Year |
2022 |
Publication |
ICT Applications for Smart Cities. Intelligent Systems Reference Library |
Abbreviated Journal |
|
| Volume |
224 |
Issue |
|
Pages |
79-99 |
| Keywords |
|
| Abstract |
This chapter tackles the challenging problem of human pose estimation in multi-view environments to handle scenes with self-occlusions. The proposed approach starts by first estimating the camera pose—extrinsic parameters—in multi-view scenarios; due to few real image datasets, different virtual scenes are generated by using a special simulator, for training and testing the proposed convolutional neural network based approaches. Then, these extrinsic parameters are used to establish the relation between different cameras into the multi-view scheme, which captures the pose of the person from different points of view at the same time. The proposed multi-view scheme allows to robustly estimate human body joints’ position even in situations where they are occluded. This would help to avoid possible false alarms in behavioral analysis systems of smart cities, as well as applications for physical therapy, safe moving assistance for the elderly among other. The chapter concludes by presenting experimental results in real scenes by using state-of-the-art and the proposed multi-view approaches. |
| Address |
September 2022 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
ISRL |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
|
ISBN |
978-3-031-06306-0 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MSIAU; MACO |
Approved |
no |
| Call Number |
Admin @ si @ CSV2022b |
Serial |
3810 |
| Permanent link to this record |
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| |
| Author |
Fernando Vilariño; Debora Gil; Petia Radeva |
| Title |
A Novel FLDA Formulation for Numerical Stability Analysis |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
Abbreviated Journal |
|
| Volume |
113 |
Issue |
|
Pages |
77-84 |
| Keywords |
Supervised Learning; Linear Discriminant Analysis; Numerical Stability; Computer Vision |
| Abstract |
Fisher Linear Discriminant Analysis (FLDA) is one of the most popular techniques used in classification applying dimensional reduction. The numerical scheme involves the inversion of the within-class scatter matrix, which makes FLDA potentially ill-conditioned when it becomes singular. In this paper we present a novel explicit formulation of FLDA in terms of the eccentricity ratio and eigenvector orientations of the within-class scatter matrix. An analysis of this function will characterize those situations where FLDA response is not reliable because of numerical instability. This can solve common situations of poor classification performance in computer vision. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
IOS Press |
Place of Publication |
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Editor |
J. Vitrià, P. Radeva and I. Aguiló |
| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-1-58603-466-5 |
Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MV;IAM;MILAB;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ VGR2004 |
Serial |
1663 |
| Permanent link to this record |
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| Author |
Lluis Pere de las Heras; Oriol Ramos Terrades; Josep Llados |
| Title |
Ontology-Based Understanding of Architectural Drawings |
Type |
Book Chapter |
| Year |
2017 |
Publication |
International Workshop on Graphics Recognition. GREC 2015.Graphic Recognition. Current Trends and Challenges |
Abbreviated Journal |
|
| Volume |
9657 |
Issue |
|
Pages |
75-85 |
| Keywords |
Graphics recognition; Floor plan analysi; Domain ontology |
| Abstract |
In this paper we present a knowledge base of architectural documents aiming at improving existing methods of floor plan classification and understanding. It consists of an ontological definition of the domain and the inclusion of real instances coming from both, automatically interpreted and manually labeled documents. The knowledge base has proven to be an effective tool to structure our knowledge and to easily maintain and upgrade it. Moreover, it is an appropriate means to automatically check the consistency of relational data and a convenient complement of hard-coded knowledge interpretation systems. |
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Thesis |
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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ HRL2017 |
Serial |
3086 |
| Permanent link to this record |
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| Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
| Title |
Exploiting Natural Language Generation in Scene Interpretation |
Type |
Book Chapter |
| Year |
2009 |
Publication |
Human–Centric Interfaces for Ambient Intelligence |
Abbreviated Journal |
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| Volume |
4 |
Issue |
|
Pages |
71–93 |
| Keywords |
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| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Elsevier Science and Tech |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
ISE |
Approved |
no |
| Call Number |
ISE @ ise @ FBR2009 |
Serial |
1212 |
| Permanent link to this record |
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| |
| Author |
Hanne Kause; Aura Hernandez-Sabate; Patricia Marquez; Andrea Fuster; Luc Florack; Hans van Assen; Debora Gil |
| Title |
Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging |
Type |
Book Chapter |
| Year |
2015 |
Publication |
Statistical Atlases and Computational Models of the Heart. Revised selected papers of Imaging and Modelling Challenges 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015 |
Abbreviated Journal |
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| Volume |
9534 |
Issue |
|
Pages |
69-79 |
| Keywords |
|
| Abstract |
Cardiac deformation and changes therein have been linked to pathologies. Both can be extracted in detail from tagged Magnetic Resonance Imaging (tMRI) using harmonic phase (HARP) images. Although point tracking algorithms have shown to have high accuracies on HARP images, these vary with position. Detecting and discarding areas with unreliable results is crucial for use in clinical support systems. This paper assesses the capability of two confidence measures (CMs), based on energy and image structure, for detecting locations with reduced accuracy in motion tracking results. These CMs were tested on a database of simulated tMRI images containing the most common artifacts that may affect tracking accuracy. CM performance is assessed based on its capability for HARP tracking error bounding and compared in terms of significant differences detected using a multi comparison analysis of variance that takes into account the most influential factors on HARP tracking performance. Results showed that the CM based on image structure was better suited to detect unreliable optical flow vectors. In addition, it was shown that CMs can be used to detect optical flow vectors with large errors in order to improve the optical flow obtained with the HARP tracking algorithm. |
| Address |
Munich; Germany; January 2015 |
| Corporate Author |
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Thesis |
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| Publisher |
Springer International Publishing |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
| Series Volume |
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Series Issue |
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Edition |
|
| ISSN |
0302-9743 |
ISBN |
978-3-319-28711-9 |
Medium |
|
| Area |
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Expedition |
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Conference |
STACOM |
| Notes |
ADAS; IAM; 600.075; 600.076; 600.060; 601.145 |
Approved |
no |
| Call Number |
Admin @ si @ KHM2015 |
Serial |
2734 |
| Permanent link to this record |
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| Author |
Hans Stadthagen-Gonzalez; Luis Lopez; M. Carmen Parafita; C. Alejandro Parraga |
| Title |
Using two-alternative forced choice tasks and Thurstone law of comparative judgments for code-switching research |
Type |
Book Chapter |
| Year |
2018 |
Publication |
Linguistic Approaches to Bilingualism |
Abbreviated Journal |
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| Volume |
|
Issue |
|
Pages |
67-97 |
| Keywords |
two-alternative forced choice and Thurstone's law; acceptability judgment; code-switching |
| Abstract |
This article argues that 2-alternative forced choice tasks and Thurstone’s law of comparative judgments (Thurstone, 1927) are well suited to investigate code-switching competence by means of acceptability judgments. We compare this method with commonly used Likert scale judgments and find that the 2-alternative forced choice task provides granular details that remain invisible in a Likert scale experiment. In order to compare and contrast both methods, we examined the syntactic phenomenon usually referred to as the Adjacency Condition (AC) (apud Stowell, 1981), which imposes a condition of adjacency between verb and object. Our interest in the AC comes from the fact that it is a subtle feature of English grammar which is absent in Spanish, and this provides an excellent springboard to create minimal code-switched pairs that allow us to formulate a clear research question that can be tested using both methods. |
| Address |
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Thesis |
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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
NEUROBIT; no menciona |
Approved |
no |
| Call Number |
Admin @ si @ SLP2018 |
Serial |
2994 |
| Permanent link to this record |
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| Author |
Niki Aifanti; Angel Sappa; N. Grammalidis; Sotiris Malassiotis |
| Title |
Advances in Tracking and Recognition of Human Motion |
Type |
Book Chapter |
| Year |
2009 |
Publication |
Encyclopedia of Information Science and Technology |
Abbreviated Journal |
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| Volume |
I |
Issue |
2nd edition |
Pages |
65–71 |
| Keywords |
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| Abstract |
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| Address |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ ASG2009 |
Serial |
1143 |
| Permanent link to this record |
