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Author |
Jorge Charco; Angel Sappa; Boris X. Vintimilla; Henry Velesaca |
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Title |
Human Body Pose Estimation in Multi-view Environments |
Type |
Book Chapter |
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Year |
2022 |
Publication |
ICT Applications for Smart Cities. Intelligent Systems Reference Library |
Abbreviated Journal |
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Volume |
224 |
Issue |
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Pages |
79-99 |
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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. |
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September 2022 |
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Springer |
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ISRL |
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978-3-031-06306-0 |
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MSIAU; MACO |
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no |
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Admin @ si @ CSV2022b |
Serial |
3810 |
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Author |
Henry Velesaca; Patricia Suarez; Dario Carpio; Rafael E. Rivadeneira; Angel Sanchez; Angel Morera |
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Title |
Video Analytics in Urban Environments: Challenges and Approaches |
Type |
Book Chapter |
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Year |
2022 |
Publication |
ICT Applications for Smart Cities |
Abbreviated Journal |
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Volume |
224 |
Issue |
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Pages |
101-121 |
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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. |
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September 2022 |
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Springer |
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ISRL |
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978-3-031-06306-0 |
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Notes |
MSIAU; MACO |
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no |
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Call Number |
Admin @ si @ VSC2022 |
Serial |
3811 |
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Author |
Victoria Ruiz; Angel Sanchez; Jose F. Velez; Bogdan Raducanu |
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Title |
Waste Classification with Small Datasets and Limited Resources |
Type |
Book Chapter |
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Year |
2022 |
Publication |
ICT Applications for Smart Cities. Intelligent Systems Reference Library |
Abbreviated Journal |
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Volume |
224 |
Issue |
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Pages |
185-203 |
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Abstract |
Automatic waste recycling has become a very important societal challenge nowadays, raising people’s awareness for a cleaner environment and a more sustainable lifestyle. With the transition to Smart Cities, and thanks to advanced ICT solutions, this problem has received a new impulse. The waste recycling focus has shifted from general waste treating facilities to an individual responsibility, where each person should become aware of selective waste separation. The surge of the mobile devices, accompanied by a significant increase in computation power, has potentiated and facilitated this individual role. An automated image-based waste classification mechanism can help with a more efficient recycling and a reduction of contamination from residuals. Despite the good results achieved with the deep learning methodologies for this task, the Achille’s heel is that they require large neural networks which need significant computational resources for training and therefore are not suitable for mobile devices. To circumvent this apparently intractable problem, we will rely on knowledge distillation in order to transfer the network’s knowledge from a larger network (called ‘teacher’) to a smaller, more compact one, (referred as ‘student’) and thus making it possible the task of image classification on a device with limited resources. For evaluation, we considered as ‘teachers’ large architectures such as InceptionResNet or DenseNet and as ‘students’, several configurations of the MobileNets. We used the publicly available TrashNet dataset to demonstrate that the distillation process does not significantly affect system’s performance (e.g. classification accuracy) of the student network. |
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September 2022 |
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Springer |
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ISRL |
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978-3-031-06306-0 |
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Notes |
LAMP |
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no |
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Call Number |
Admin @ si @ |
Serial |
3813 |
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Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
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Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
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Year |
2006 |
Publication |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
Abbreviated Journal |
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Volume |
4191 |
Issue |
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Pages |
161–168 |
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Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
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Address |
Copenhagen (Denmark) |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
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LNCS |
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Series Volume |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Area |
800 |
Expedition |
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Conference |
MICCAI06 |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
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Title |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
Type |
Book Chapter |
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Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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Volume |
4225 |
Issue |
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Pages |
178–187 |
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Abstract |
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns. |
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Address |
Cancun (Mexico) |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
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LNCS |
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Area |
800 |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
Serial |
728 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
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Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
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Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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Volume |
4225 |
Issue |
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Pages |
188–197 |
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Abstract |
Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment. |
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Address |
Cancun (Mexico) |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin-Heidelberg |
Editor |
J.P. Martinez–Trinidad et al |
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LNCS |
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Area |
800 |
Expedition |
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Conference |
CIARP06 |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
Serial |
729 |
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Permanent link to this record |
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Author |
Salim Jouili; Salvatore Tabbone; Ernest Valveny |
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Title |
Comparing Graph Similarity Measures for Graphical Recognition |
Type |
Book Chapter |
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Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
Abbreviated Journal |
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Volume |
6020 |
Issue |
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Pages |
37-48 |
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Abstract |
In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. |
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Publisher |
Springer Berlin Heidelberg |
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Series Editor |
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Abbreviated Series Title |
LNCS |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-13727-3 |
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Conference |
GREC |
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Notes |
DAG |
Approved |
no |
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Call Number |
Admin @ si @ JTV2010 |
Serial |
2404 |
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Permanent link to this record |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
A Region-Based Hashing Approach for Symbol Spotting in Technical Documents |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
Abbreviated Journal |
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Volume |
5046 |
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Pages |
104–113 |
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Editor |
W. Lius, J. Llados, J.M. Ogier |
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LNCS |
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Notes |
DAG |
Approved |
no |
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Call Number |
DAG @ dag @ RuL2008a |
Serial |
959 |
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Permanent link to this record |
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Author |
Santiago Segui; Laura Igual; Fernando Vilariño; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
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Title |
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Computer Vision Systems. 6th International |
Abbreviated Journal |
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Volume |
5008 |
Issue |
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Pages |
251–260 |
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Abstract |
Wireless Video Capsule Endoscopy is a clinical technique consisting of the analysis of images from the intestine which are pro- vided by an ingestible device with a camera attached to it. In this paper we propose an automatic system to diagnose severe intestinal motility disfunctions using the video endoscopy data. The system is based on the application of computer vision techniques within a machine learn- ing framework in order to obtain the characterization of diverse motil- ity events from video sequences. We present experimental results that demonstrate the effectiveness of the proposed system and compare them with the ground-truth provided by the gastroenterologists. |
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Address |
Santorini (Greece) |
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Publisher |
Springer-Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
A. Gasteratos, M. Vincze, and J.K. Tsotsos |
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Series Editor |
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LNCS |
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Edition |
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ISBN |
978-3-540-79546-9 |
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Area |
800 |
Expedition |
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Conference |
ICVS |
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Notes |
OR; MV; MILAB; SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ SIV2008; IAM @ iam @ SIV2008 |
Serial |
962 |
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Author |
Ivan Huerta; Ariel Amato; Jordi Gonzalez; Juan J. Villanueva |
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Title |
Fusing Edge Cues to Handle Colour Problems in Image Segmentation |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Articulated Motion and Deformable Objects, 5th International Conference |
Abbreviated Journal |
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Volume |
5098 |
Issue |
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Pages |
279–288 |
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Address |
Port d'Andratx (Mallorca) |
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LNCS |
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Conference |
AMDO |
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Notes |
ISE |
Approved |
no |
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Call Number |
ISE @ ise @ HAG2008 |
Serial |
973 |
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Permanent link to this record |
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Author |
Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Articulated Motion and Deformable Objects, 5th International Conference AMDO 2008, |
Abbreviated Journal |
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Volume |
5098 |
Issue |
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Pages |
299-308 |
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Port d'Andratx (Mallorca) |
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LNCS |
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Notes |
ISE |
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no |
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Call Number |
ISE @ ise @ BRG2008 |
Serial |
974 |
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Permanent link to this record |
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Author |
Bhaskar Chakraborty; Marco Pedersoli; Jordi Gonzalez |
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Title |
View-Invariant Human Action Detection using Component-Wise HMM of Body Parts |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Articulated Motion and Deformable Objects, 5th International Conference |
Abbreviated Journal |
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Volume |
5098 |
Issue |
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Pages |
208–217 |
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Address |
Port d'Andratx (Mallorca) |
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Conference |
AMDO |
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Notes |
ISE |
Approved |
no |
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Call Number |
ISE @ ise @ CPG2008 |
Serial |
975 |
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Author |
Xavier Baro; Jordi Vitria |
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Title |
Evolutionary Object Detection by Means of Naive Bayes Models Estimation |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Applications of Evolutionary Computing. EvoWorkshops |
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Volume |
4974 |
Issue |
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Pages |
235–244 |
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Address |
Naples (Italy) |
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Editor |
M. Giacobini |
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LNCS |
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Notes |
OR;HuPBA;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ BaV2008a |
Serial |
976 |
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Author |
Xavier Baro; Jordi Vitria |
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Title |
Weighted Dissociated Diploes: An Extended Visual Feature Set |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Computer Vision Systems. 6th International Conference ICVS |
Abbreviated Journal |
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Volume |
5008 |
Issue |
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Pages |
281–290 |
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Address |
Santorini (Greece) |
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Notes |
OR;HuPBA;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ BaV2008b |
Serial |
977 |
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Author |
Ernest Valveny; Salvatore Tabbone; Oriol Ramos Terrades |
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Title |
Performance Characterization of Shape Descriptors for Symbol Representation |
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Book Chapter |
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Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
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Volume |
5046 |
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Pages |
278–287 |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
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Notes |
DAG |
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no |
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Call Number |
DAG @ dag @ VTR2008 |
Serial |
985 |
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