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Author |
Diego Alejandro Cheda |
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Title |
Monocular egomotion estimation for ADAS application |
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Report |
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2009 |
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CVC Technical Report |
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148 |
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Computer Vision Center |
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Ph.D. thesis |
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Bellaterra, Barcelona |
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ADAS |
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Admin @ si @ Che2009 |
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2402 |
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Author |
Javier Marin |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Virtual learning for real testing |
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Report |
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2009 |
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CVC Technical Report |
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150 |
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Computer Vision Center |
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Master's thesis |
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bell |
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ADAS |
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no |
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Admin @ si @ Mar2009c |
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2403 |
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Author |
Ivet Rafegas |
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Title |
Exploring Low-Level Vision Models. Case Study: Saliency Prediction |
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Report |
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2013 |
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CVC Technical Report |
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175 |
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CIC |
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Admin @ si @ Raf2013 |
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2409 |
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Author |
Francesco Brughi |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Artistic Heritage Motive Retrieval: an Explorative Study |
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Report |
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2013 |
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CVC Technical Report |
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176 |
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IAM |
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no |
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Admin @ si @ Bru2013 |
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2410 |
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Author |
Thierry Brouard; Jordi Gonzalez; Caifeng Shan; Massimo Piccardi; Larry S. Davis |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Special issue on background modeling for foreground detection in real-world dynamic scenes |
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Journal Article |
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Year |
2014 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVAP |
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Volume |
25 |
Issue |
5 |
Pages |
1101-1103 |
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Although background modeling and foreground detection are not mandatory steps for computer vision applications, they may prove useful as they separate the primal objects usually called “foreground” from the remaining part of the scene called “background”, and permits different algorithmic treatment in the video processing field such as video surveillance, optical motion capture, multimedia applications, teleconferencing and human–computer interfaces. Conventional background modeling methods exploit the temporal variation of each pixel to model the background, and the foreground detection is made using change detection. The last decade witnessed very significant publications on background modeling but recently new applications in which background is not static, such as recordings taken from mobile devices or Internet videos, need new developments to detect robustly moving objects in challenging environments. Thus, effective methods for robustness to deal both with dynamic backgrounds, i |
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Springer Berlin Heidelberg |
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0932-8092 |
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ISE; 600.078 |
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no |
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Call Number |
BGS2014a |
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2411 |
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Author |
Bhaskar Chakraborty; Jordi Gonzalez; Xavier Roca |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Large scale continuous visual event recognition using max-margin Hough transformation framework |
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Journal Article |
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Year |
2013 |
Publication |
Computer Vision and Image Understanding |
Abbreviated Journal |
CVIU |
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Volume |
117 |
Issue |
10 |
Pages |
1356–1368 |
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In this paper we propose a novel method for continuous visual event recognition (CVER) on a large scale video dataset using max-margin Hough transformation framework. Due to high scalability, diverse real environmental state and wide scene variability direct application of action recognition/detection methods such as spatio-temporal interest point (STIP)-local feature based technique, on the whole dataset is practically infeasible. To address this problem, we apply a motion region extraction technique which is based on motion segmentation and region clustering to identify possible candidate “event of interest” as a preprocessing step. On these candidate regions a STIP detector is applied and local motion features are computed. For activity representation we use generalized Hough transform framework where each feature point casts a weighted vote for possible activity class centre. A max-margin frame work is applied to learn the feature codebook weight. For activity detection, peaks in the Hough voting space are taken into account and initial event hypothesis is generated using the spatio-temporal information of the participating STIPs. For event recognition a verification Support Vector Machine is used. An extensive evaluation on benchmark large scale video surveillance dataset (VIRAT) and as well on a small scale benchmark dataset (MSR) shows that the proposed method is applicable on a wide range of continuous visual event recognition applications having extremely challenging conditions. |
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1077-3142 |
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ISE |
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no |
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Admin @ si @ CGR2013 |
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2413 |
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Author |
German Ros |
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Title |
Visual SLAM for Driverless Cars: An Initial Survey |
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Report |
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Year |
2012 |
Publication |
CVC Technical Report |
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Volume |
170 |
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Master's thesis |
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ADAS |
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no |
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Call Number |
Admin @ si @ Ros2012c |
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2414 |
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Author |
Xu Hu |
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Title |
Real-Time Part Based Models for Object Detection |
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Report |
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Year |
2012 |
Publication |
CVC Technical Report |
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171 |
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Master's thesis |
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ADAS;ISE |
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no |
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Admin @ si @ Hu2012 |
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2415 |
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Author |
Nuria Cirera |
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Title |
Recognition of Handwritten Historical Documents |
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Report |
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Year |
2012 |
Publication |
CVC Technical Report |
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174 |
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Master's thesis |
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DAG |
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no |
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Admin @ si @ Cir2012 |
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2416 |
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Author |
Adria Ruiz; Joost Van de Weijer; Xavier Binefa |
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Title |
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization |
Type |
Conference Article |
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Year |
2014 |
Publication |
25th British Machine Vision Conference |
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We address the problem of estimating high-level semantic labels for videos of recorded people by means of analysing their facial expressions. This problem, to which we refer as facial behavior categorization, is a weakly-supervised learning problem where we do not have access to frame-by-frame facial gesture annotations but only weak-labels at the video level are available. Therefore, the goal is to learn a set of discriminative expressions and how they determine the video weak-labels. Facial behavior categorization can be posed as a Multi-Instance-Learning (MIL) problem and we propose a novel MIL method called Regularized Multi-Concept MIL to solve it. In contrast to previous approaches applied in facial behavior analysis, RMC-MIL follows a Multi-Concept assumption which allows different facial expressions (concepts) to contribute differently to the video-label. Moreover, to handle with the high-dimensional nature of facial-descriptors, RMC-MIL uses a discriminative approach to model the concepts and structured sparsity regularization to discard non-informative features. RMC-MIL is posed as a convex-constrained optimization problem where all the parameters are jointly learned using the Projected-Quasi-Newton method. In our experiments, we use two public data-sets to show the advantages of the Regularized Multi-Concept approach and its improvement compared to existing MIL methods. RMC-MIL outperforms state-of-the-art results in the UNBC data-set for pain detection. |
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Nottingham; UK; September 2014 |
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BMVC |
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Notes |
LAMP; CIC; 600.074; 600.079 |
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no |
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Call Number |
Admin @ si @ RWB2014 |
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2508 |
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Author |
Ferran Poveda |
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Title |
Computer Graphics and Vision Techniques for the Study of the Muscular Fiber Architecture of the Myocardium |
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Book Whole |
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2013 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
Debora Gil;Enric Marti |
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IAM |
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no |
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Call Number |
Admin @ si @ Pov2013 |
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2417 |
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Author |
T.Chauhan; E.Perales; Kaida Xiao; E.Hird ; Dimosthenis Karatzas; Sophie Wuerger |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
The achromatic locus: Effect of navigation direction in color space |
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Journal Article |
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Year |
2014 |
Publication |
Journal of Vision |
Abbreviated Journal |
VSS |
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14 (1) |
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25 |
Pages |
1-11 |
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achromatic; unique hues; color constancy; luminance; color space |
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Abstract |
5Y Impact Factor: 2.99 / 1st (Ophthalmology)
An achromatic stimulus is defined as a patch of light that is devoid of any hue. This is usually achieved by asking observers to adjust the stimulus such that it looks neither red nor green and at the same time neither yellow nor blue. Despite the theoretical and practical importance of the achromatic locus, little is known about the variability in these settings. The main purpose of the current study was to evaluate whether achromatic settings were dependent on the task of the observers, namely the navigation direction in color space. Observers could either adjust the test patch along the two chromatic axes in the CIE u*v* diagram or, alternatively, navigate along the unique-hue lines. Our main result is that the navigation method affects the reliability of these achromatic settings. Observers are able to make more reliable achromatic settings when adjusting the test patch along the directions defined by the four unique hues as opposed to navigating along the main axes in the commonly used CIE u*v* chromaticity plane. This result holds across different ambient viewing conditions (Dark, Daylight, Cool White Fluorescent) and different test luminance levels (5, 20, and 50 cd/m2). The reduced variability in the achromatic settings is consistent with the idea that internal color representations are more aligned with the unique-hue lines than the u* and v* axes. |
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DAG; 600.077 |
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no |
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Admin @ si @ CPX2014 |
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2418 |
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Author |
Antonio Clavelli; Dimosthenis Karatzas; Josep Llados; Mario Ferraro; Giuseppe Boccignone |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Modelling task-dependent eye guidance to objects in pictures |
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Journal Article |
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Year |
2014 |
Publication |
Cognitive Computation |
Abbreviated Journal |
CoCom |
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6 |
Issue |
3 |
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558-584 |
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Visual attention; Gaze guidance; Value; Payoff; Stochastic fixation prediction |
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5Y Impact Factor: 1.14 / 3rd (Computer Science, Artificial Intelligence)
We introduce a model of attentional eye guidance based on the rationale that the deployment of gaze is to be considered in the context of a general action-perception loop relying on two strictly intertwined processes: sensory processing, depending on current gaze position, identifies sources of information that are most valuable under the given task; motor processing links such information with the oculomotor act by sampling the next gaze position and thus performing the gaze shift. In such a framework, the choice of where to look next is task-dependent and oriented to classes of objects embedded within pictures of complex scenes. The dependence on task is taken into account by exploiting the value and the payoff of gazing at certain image patches or proto-objects that provide a sparse representation of the scene objects. The different levels of the action-perception loop are represented in probabilistic form and eventually give rise to a stochastic process that generates the gaze sequence. This way the model also accounts for statistical properties of gaze shifts such as individual scan path variability. Results of the simulations are compared either with experimental data derived from publicly available datasets and from our own experiments. |
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Springer US |
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1866-9956 |
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DAG; 600.056; 600.045; 605.203; 601.212; 600.077 |
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no |
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Admin @ si @ CKL2014 |
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2419 |
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Author |
Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? |
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2009 |
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Gastrointestinal Endoscopy |
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GI |
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69 |
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5 |
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370 |
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800 |
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MV;SIAI |
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Call Number |
fernando @ fernando @ |
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2420 |
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Author |
Miquel Ferrer; I. Bardaji; Ernest Valveny; Dimosthenis Karatzas; Horst Bunke |
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Title |
Median Graph Computation by Means of Graph Embedding into Vector Spaces |
Type |
Book Chapter |
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Year |
2013 |
Publication |
Graph Embedding for Pattern Analysis |
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45-72 |
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Abstract |
In pattern recognition [8, 14], a key issue to be addressed when designing a system is how to represent input patterns. Feature vectors is a common option. That is, a set of numerical features describing relevant properties of the pattern are computed and arranged in a vector form. The main advantages of this kind of representation are computational simplicity and a well sound mathematical foundation. Thus, a large number of operations are available to work with vectors and a large repository of algorithms for pattern analysis and classification exist. However, the simple structure of feature vectors might not be the best option for complex patterns where nonnumerical features or relations between different parts of the pattern become relevant. |
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Publisher |
Springer New York |
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Editor |
Yun Fu; Yungian Ma |
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978-1-4614-4456-5 |
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DAG |
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no |
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Call Number |
Admin @ si @ FBV2013 |
Serial |
2421 |
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