| Records |
| Author |
Antonio Lopez; Jiaolong Xu; Jose Luis Gomez; David Vazquez; German Ros |
| Title |
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example |
Type |
Book Chapter |
| Year |
2017 |
Publication |
Domain Adaptation in Computer Vision Applications |
Abbreviated Journal |
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| Volume |
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Issue  |
13 |
Pages |
243-258 |
| Keywords |
Domain Adaptation |
| Abstract |
Supervised learning tends to produce more accurate classifiers than unsupervised learning in general. This implies that training data is preferred with annotations. When addressing visual perception challenges, such as localizing certain object classes within an image, the learning of the involved classifiers turns out to be a practical bottleneck. The reason is that, at least, we have to frame object examples with bounding boxes in thousands of images. A priori, the more complex the model is regarding its number of parameters, the more annotated examples are required. This annotation task is performed by human oracles, which ends up in inaccuracies and errors in the annotations (aka ground truth) since the task is inherently very cumbersome and sometimes ambiguous. As an alternative we have pioneered the use of virtual worlds for collecting such annotations automatically and with high precision. However, since the models learned with virtual data must operate in the real world, we still need to perform domain adaptation (DA). In this chapter we revisit the DA of a deformable part-based model (DPM) as an exemplifying case of virtual- to-real-world DA. As a use case, we address the challenge of vehicle detection for driver assistance, using different publicly available virtual-world data. While doing so, we investigate questions such as: how does the domain gap behave due to virtual-vs-real data with respect to dominant object appearance per domain, as well as the role of photo-realism in the virtual world. |
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| Publisher |
Springer |
Place of Publication |
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Editor |
Gabriela Csurka |
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Conference |
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| Notes |
ADAS; 600.085; 601.223; 600.076; 600.118 |
Approved |
no |
| Call Number |
ADAS @ adas @ LXG2017 |
Serial |
2872 |
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| Author |
Laura Lopez-Fuentes; Joost Van de Weijer; Manuel Gonzalez-Hidalgo; Harald Skinnemoen; Andrew Bagdanov |
| Title |
Review on computer vision techniques in emergency situations |
Type |
Journal Article |
| Year |
2018 |
Publication |
Multimedia Tools and Applications |
Abbreviated Journal |
MTAP |
| Volume |
77 |
Issue |
13 |
Pages |
17069–17107 |
| Keywords |
Emergency management; Computer vision; Decision makers; Situational awareness; Critical situation |
| Abstract |
In emergency situations, actions that save lives and limit the impact of hazards are crucial. In order to act, situational awareness is needed to decide what to do. Geolocalized photos and video of the situations as they evolve can be crucial in better understanding them and making decisions faster. Cameras are almost everywhere these days, either in terms of smartphones, installed CCTV cameras, UAVs or others. However, this poses challenges in big data and information overflow. Moreover, most of the time there are no disasters at any given location, so humans aiming to detect sudden situations may not be as alert as needed at any point in time. Consequently, computer vision tools can be an excellent decision support. The number of emergencies where computer vision tools has been considered or used is very wide, and there is a great overlap across related emergency research. Researchers tend to focus on state-of-the-art systems that cover the same emergency as they are studying, obviating important research in other fields. In order to unveil this overlap, the survey is divided along four main axes: the types of emergencies that have been studied in computer vision, the objective that the algorithms can address, the type of hardware needed and the algorithms used. Therefore, this review provides a broad overview of the progress of computer vision covering all sorts of emergencies. |
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Conference |
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| Notes |
LAMP; 600.068; 600.120 |
Approved |
no |
| Call Number |
Admin @ si @ LWG2018 |
Serial |
3041 |
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| Author |
Rahma Kalboussi; Aymen Azaza; Joost Van de Weijer; Mehrez Abdellaoui; Ali Douik |
| Title |
Object proposals for salient object segmentation in videos |
Type |
Journal Article |
| Year |
2020 |
Publication |
Multimedia Tools and Applications |
Abbreviated Journal |
MTAP |
| Volume |
79 |
Issue |
13 |
Pages |
8677-8693 |
| Keywords |
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| Abstract |
Salient object segmentation in videos is generally broken up in a video segmentation part and a saliency assignment part. Recently, object proposals, which are used to segment the image, have had significant impact on many computer vision applications, including image segmentation, object detection, and recently saliency detection in still images. However, their usage has not yet been evaluated for salient object segmentation in videos. Therefore, in this paper, we investigate the application of object proposals to salient object segmentation in videos. In addition, we propose a new motion feature derived from the optical flow structure tensor for video saliency detection. Experiments on two standard benchmark datasets for video saliency show that the proposed motion feature improves saliency estimation results, and that object proposals are an efficient method for salient object segmentation. Results on the challenging SegTrack v2 and Fukuchi benchmark data sets show that we significantly outperform the state-of-the-art. |
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Edition |
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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 |
LAMP; 600.120 |
Approved |
no |
| Call Number |
KAW2020 |
Serial |
3504 |
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| Author |
Mohammad Rouhani |
| Title |
3D Data Fitting and Tracking for Real Time Applications |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
138 |
Issue |
138 |
Pages |
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| Keywords |
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| Abstract |
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| Address |
Barcelona, Spain |
| Corporate Author |
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Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
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Editor |
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Original Title |
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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 |
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Expedition |
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Conference |
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| Notes |
invisible;ADAS |
Approved |
no |
| Call Number |
Admin @ si @ Rou2009 |
Serial |
1150 |
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| Author |
Neus Salvatella; E Fernandez-Nofrerias; Francesco Ciompi; O. Rodriguez-Leor; H. Tizon; Xavier Carrillo; Josefina Mauri; Petia Radeva |
| Title |
Radial Artery Volume Changes After Administration Of Two Different Intra-arterial Drug Regimens. Assessment by Intravascular Ultrasound |
Type |
Journal Article |
| Year |
2010 |
Publication |
Journal of the American College of Cardiology |
Abbreviated Journal |
JACC |
| Volume |
56 |
Issue |
13s1 |
Pages |
B119 |
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| Area |
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Expedition |
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Conference |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SFC2010b |
Serial |
1364 |
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| Author |
Jordi Vitria; J. Llacer |
| Title |
Reconstructing 3D light microscopic images using the EM algorithm |
Type |
Journal |
| Year |
1996 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
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| Volume |
17 |
Issue |
14 |
Pages |
1491–1498 |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ ViL1996 |
Serial |
74 |
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| Author |
David Guillamet; Jordi Vitria; B. Shiele |
| Title |
Introducing a weighted non-negative matrix factorization for image classification |
Type |
Journal Article |
| Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
14 |
Pages |
2447–2454 |
| Keywords |
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| Abstract |
IF: 0.809 |
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| Area |
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Expedition |
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Conference |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ GVS2003 |
Serial |
382 |
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| Author |
Xavier Otazu; Oriol Pujol |
| Title |
Wavelet based approach to cluster analysis. Application on low dimensional data sets |
Type |
Journal Article |
| Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
27 |
Issue |
14 |
Pages |
1590–1605 |
| Keywords |
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Edition |
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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 |
MILAB; CIC; HuPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ OtP2006 |
Serial |
658 |
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| Author |
Josep Llados; Horst Bunke; Enric Marti |
| Title |
Finding rotational symmetries by cyclic string matching |
Type |
Journal Article |
| Year |
1997 |
Publication |
Pattern recognition letters |
Abbreviated Journal |
PRL |
| Volume |
18 |
Issue |
14 |
Pages |
1435-1442 |
| Keywords |
Rotational symmetry; Reflectional symmetry; String matching |
| Abstract |
Symmetry is an important shape feature. In this paper, a simple and fast method to detect perfect and distorted rotational symmetries of 2D objects is described. The boundary of a shape is polygonally approximated and represented as a string. Rotational symmetries are found by cyclic string matching between two identical copies of the shape string. The set of minimum cost edit sequences that transform the shape string to a cyclically shifted version of itself define the rotational symmetry and its order. Finally, a modification of the algorithm is proposed to detect reflectional symmetries. Some experimental results are presented to show the reliability of the proposed algorithm |
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Elsevier |
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| Notes |
DAG;IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ LBM1997a |
Serial |
1562 |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Subtle Facial Expression Recognition in Still Images and Videos |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Advances in Face Image Analysis: Techniques and Technologies |
Abbreviated Journal |
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| Volume |
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Issue |
14 |
Pages |
259-277 |
| Keywords |
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| Abstract |
This chapter addresses the recognition of basic facial expressions. It has three main contributions. First, the authors introduce a view- and texture independent schemes that exploits facial action parameters estimated by an appearance-based 3D face tracker. they represent the learned facial actions associated with different facial expressions by time series. Two dynamic recognition schemes are proposed: (1) the first is based on conditional predictive models and on an analysis-synthesis scheme, and (2) the second is based on examples allowing straightforward use of machine learning approaches. Second, the authors propose an efficient recognition scheme based on the detection of keyframes in videos. Third, the authors compare the dynamic scheme with a static one based on analyzing individual snapshots and show that in general the former performs better than the latter. The authors then provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). |
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| Publisher |
IGI-Global |
Place of Publication |
New York, USA |
Editor |
Yu-Jin Zhang |
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ISBN |
978-1-6152-0991-0 |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
Admin @ si @ DoR2011 |
Serial |
1751 |
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| Author |
M. Bressan; Jordi Vitria |
| Title |
Nonparametric Discriminant Analysis and Nearest Neighbor Classification |
Type |
Journal Article |
| Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
15 |
Pages |
2743–2749 |
| Keywords |
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| Abstract |
IF: 0.809 |
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| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ BrV2003b |
Serial |
367 |
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| Author |
Antonio Lopez; Felipe Lumbreras; Joan Serrat |
| Title |
Efficient computation of local creaseness |
Type |
Report |
| Year |
1997 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
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Issue |
15 |
Pages |
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Place of Publication |
CVC, Bellaterra (Spain) |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ LLS1997b |
Serial |
527 |
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| Author |
Fadi Dornaika; Angel Sappa |
| Title |
Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo 3D Models |
Type |
Journal Article |
| Year |
2007 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
28 |
Issue |
15 |
Pages |
2116-2126 |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ DoS2007c |
Serial |
877 |
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| Author |
Sergio Escalera; Alicia Fornes; O. Pujol; Petia Radeva; Gemma Sanchez; Josep Llados |
| Title |
Blurred Shape Model for Binary and Grey-level Symbol Recognition |
Type |
Journal Article |
| Year |
2009 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
30 |
Issue |
15 |
Pages |
1424–1433 |
| Keywords |
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| Abstract |
Many symbol recognition problems require the use of robust descriptors in order to obtain rich information of the data. However, the research of a good descriptor is still an open issue due to the high variability of symbols appearance. Rotation, partial occlusions, elastic deformations, intra-class and inter-class variations, or high variability among symbols due to different writing styles, are just a few problems. In this paper, we introduce a symbol shape description to deal with the changes in appearance that these types of symbols suffer. The shape of the symbol is aligned based on principal components to make the recognition invariant to rotation and reflection. Then, we present the Blurred Shape Model descriptor (BSM), where new features encode the probability of appearance of each pixel that outlines the symbols shape. Moreover, we include the new descriptor in a system to deal with multi-class symbol categorization problems. Adaboost is used to train the binary classifiers, learning the BSM features that better split symbol classes. Then, the binary problems are embedded in an Error-Correcting Output Codes framework (ECOC) to deal with the multi-class case. The methodology is evaluated on different synthetic and real data sets. State-of-the-art descriptors and classifiers are compared, showing the robustness and better performance of the present scheme to classify symbols with high variability of appearance. |
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| Notes |
HuPBA; DAG; MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ EFP2009a |
Serial |
1180 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
A model for image generation and symbol recognition through the deformation of lineal shapes |
Type |
Journal Article |
| Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
15 |
Pages |
2857-2867 |
| Keywords |
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| Abstract |
We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents. |
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| Publisher |
Elsevier Science Inc. |
Place of Publication |
New York, NY, USA |
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Series Title |
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Edition |
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0167-8655 |
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| Notes |
DAG; IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VAM2003 |
Serial |
1653 |
| Permanent link to this record |
