| Records |
| Author |
Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
| Title |
Top-Down Color Attention for Object Recognition |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference on Computer Vision |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
979 - 986 |
| Keywords |
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| Abstract |
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information. |
| Address |
Kyoto, Japan |
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Edition |
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| ISSN |
1550-5499 |
ISBN |
978-1-4244-4420-5 |
Medium |
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Expedition |
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Conference |
ICCV |
| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ SWV2009 |
Serial |
1196 |
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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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Expedition |
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Conference |
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| Notes |
HuPBA; DAG; MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ EFP2009a |
Serial |
1180 |
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| Author |
Daniel Ponsa; Antonio Lopez |
| Title |
Variance reduction techniques in particle-based visual contour Tracking |
Type |
Journal Article |
| Year |
2009 |
Publication |
Pattern Recognition |
Abbreviated Journal |
PR |
| Volume |
42 |
Issue |
11 |
Pages |
2372–2391 |
| Keywords |
Contour tracking; Active shape models; Kalman filter; Particle filter; Importance sampling; Unscented particle filter; Rao-Blackwellization; Partitioned sampling |
| Abstract |
This paper presents a comparative study of three different strategies to improve the performance of particle filters, in the context of visual contour tracking: the unscented particle filter, the Rao-Blackwellized particle filter, and the partitioned sampling technique. The tracking problem analyzed is the joint estimation of the global and local transformation of the outline of a given target, represented following the active shape model approach. The main contributions of the paper are the novel adaptations of the considered techniques on this generic problem, and the quantitative assessment of their performance in extensive experimental work done. |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ PoL2009a |
Serial |
1168 |
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| Author |
Miquel Ferrer; Ernest Valveny; F. Serratosa |
| Title |
Median Graphs: A Genetic Approach based on New Theoretical Properties |
Type |
Journal Article |
| Year |
2009 |
Publication |
Pattern Recognition |
Abbreviated Journal |
PR |
| Volume |
42 |
Issue |
9 |
Pages |
2003–2012 |
| Keywords |
Median graph; Genetic search; Maximum common subgraph; Graph matching; Structural pattern recognition |
| Abstract |
Given a set of graphs, the median graph has been theoretically presented as a useful concept to infer a representative of the set. However, the computation of the median graph is a highly complex task and its practical application has been very limited up to now. In this work we present two major contributions. On one side, and from a theoretical point of view, we show new theoretical properties of the median graph. On the other side, using these new properties, we present a new approximate algorithm based on the genetic search, that improves the computation of the median graph. Finally, we perform a set of experiments on real data, where none of the existing algorithms for the median graph computation could be applied up to now due to their computational complexity. With these results, we show how the concept of the median graph can be used in real applications and leaves the box of the only-theoretical concepts, demonstrating, from a practical point of view, that can be a useful tool to represent a set of graphs. |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ FVS2009b |
Serial |
1167 |
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| Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva; Jordi Vitria |
| Title |
A First Approach to Activity Recognition Using Topic Models |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
202 |
Issue |
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Pages |
74 - 82 |
| Keywords |
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| Abstract |
In this work, we present a first approach to activity patterns discovery by mean of topic models. Using motion data collected with a wearable device we prototype, TheBadge, we analyse raw accelerometer data using Latent Dirichlet Allocation (LDA), a particular instantiation of topic models. Results show that for particular values of the parameters necessary for applying LDA to a countinous dataset, good accuracies in activity classification can be achieved. |
| Address |
Cardona, Spain |
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Place of Publication |
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Summary Language |
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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 |
978-1-60750-061-2 |
Medium |
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| Area |
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Expedition |
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Conference |
CCIA |
| Notes |
OR;MILAB;HuPBA;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ CPR2009e |
Serial |
1231 |
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| Author |
Sergio Escalera; Oriol Pujol; Petia Radeva; Jordi Vitria |
| Title |
Measuring Interest of Human Dyadic Interactions |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
202 |
Issue |
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Pages |
45-54 |
| Keywords |
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| Abstract |
In this paper, we argue that only using behavioural motion information, we are able to predict the interest of observers when looking at face-to-face interactions. We propose a set of movement-related features from body, face, and mouth activity in order to define a set of higher level interaction features, such as stress, activity, speaking engagement, and corporal engagement. Error-Correcting Output Codes framework with an Adaboost base classifier is used to learn to rank the perceived observer's interest in face-to-face interactions. The automatic system shows good correlation between the automatic categorization results and the manual ranking made by the observers. In particular, the learning system shows that stress features have a high predictive power for ranking interest of observers when looking at of face-to-face interactions. |
| Address |
Cardona (Spain) |
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Edition |
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ISBN |
978-1-60750-061-2 |
Medium |
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Expedition |
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Conference |
CCIA |
| Notes |
OR;MILAB;HuPBA;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ EPR2009b |
Serial |
1182 |
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| Author |
Sergio Escalera; Xavier Baro; Jordi Vitria; Petia Radeva |
| Title |
Text Detection in Urban Scenes (video sample) |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
202 |
Issue |
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Pages |
35–44 |
| Keywords |
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| Abstract |
Abstract. Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are just a few problems. Text detection can be specially suited for georeferencing business, navigation, tourist assistance, or to help visual impaired people. In this paper, we propose a general methodology to deal with the problem of text detection in outdoor scenes. The method is based on learning spatial information of gradient based features and Census Transform images using a cascade of classifiers. The method is applied in the context of Mobile Mapping systems, where a mobile vehicle captures urban image sequences. Moreover, a cover data set is presented and tested with the new methodology. The results show high accuracy when detecting multi-linear text regions with high variability of appearance, at same time that it preserves a low false alarm rate compared to classical approaches |
| Address |
Cardona (Spain) |
| Corporate Author |
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Place of Publication |
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Summary Language |
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ISBN |
978-1-60750-061-2 |
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Conference |
CCIA |
| Notes |
OR;MILAB;HuPBA;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ EBV2009 |
Serial |
1181 |
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| Author |
Xavier Baro; Sergio Escalera; Petia Radeva; Jordi Vitria |
| Title |
Generic Object Recognition in Urban Image Databases |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
202 |
Issue |
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Pages |
27-34 |
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| Abstract |
In this paper we propose the construction of a visual content layer which describes the visual appearance of geographic locations in a city. We captured, by means of a Mobile Mapping system, a huge set of georeferenced images (>500K) which cover the whole city of Barcelona. For each image, hundreds of region descriptions are computed off-line and described as a hash code. All this information is extracted without an object of reference, which allows to search for any type of objects using their visual appearance. A new Visual Content layer is built over Google Maps, allowing the object recognition information to be organized and fused with other content, like satellite images, street maps, and business locations. |
| Address |
Cardona (Spain) |
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ISBN |
978-1-60750-061-2 |
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Conference |
CCIA |
| Notes |
OR;MILAB;HuPBA;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VER2009 |
Serial |
1183 |
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| Author |
Francesco Ciompi; Oriol Pujol; Oriol Rodriguez-Leor; Angel Serrano; J. Mauri; Petia Radeva |
| Title |
On in-vitro and in-vivo IVUS data fusion |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
202 |
Issue |
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Pages |
147-156 |
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The design and the validation of an automatic plaque characterization technique based on Intravascular Ultrasound (IVUS) usually requires a data ground-truth. The histological analysis of post-mortem coronary arteries is commonly assumed as the state-of-the-art process for the extraction of a reliable data-set of atherosclerotic plaques. Unfortunately, the amount of data provided by this technique is usually few, due to the difficulties in collecting post-mortem cases and phenomena of tissue spoiling during histological analysis. In this paper we tackle the process of fusing in-vivo and in-vitro IVUS data starting with the analysis of recently proposed approaches for the creation of an enhanced IVUS data-set; furthermore, we propose a new approach, named pLDS, based on semi-supervised learning with a data selection criterion. The enhanced data-set obtained by each one of the analyzed approaches is used to train a classifier for tissue characterization purposes. Finally, the discriminative power of each classifier is quantitatively assessed and compared by classifying a data-set of validated in-vitro IVUS data. |
| Address |
Cardona (Spain) |
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ISBN |
978-1-60750-061-2 |
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Conference |
CCIA |
| Notes |
MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ CPR2009d |
Serial |
1204 |
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| Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
| Title |
Predicting Missing Ratings in Recommender Systems: Adapted Factorization Approach |
Type |
Journal Article |
| Year |
2009 |
Publication |
International Journal of Electronic Commerce |
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| Volume |
14 |
Issue |
1 |
Pages |
89-108 |
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The paper presents a factorization-based approach to make predictions in recommender systems. These systems are widely used in electronic commerce to help customers find products according to their preferences. Taking into account the customer's ratings of some products available in the system, the recommender system tries to predict the ratings the customer would give to other products in the system. The proposed factorization-based approach uses all the information provided to compute the predicted ratings, in the same way as approaches based on Singular Value Decomposition (SVD). The main advantage of this technique versus SVD-based approaches is that it can deal with missing data. It also has a smaller computational cost. Experimental results with public data sets are provided to show that the proposed adapted factorization approach gives better predicted ratings than a widely used SVD-based approach. |
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Edition |
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| ISSN |
1086-4415 |
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ADAS |
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no |
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ADAS @ adas @ JSL2009b |
Serial |
1237 |
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| Author |
Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich |
| Title |
Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset |
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Journal Article |
| Year |
2009 |
Publication |
Journal of Imaging Science and Technology |
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| Volume |
53 |
Issue |
3 |
Pages |
031105–9 |
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| Abstract |
The estimation of the illuminant of a scene from a digital image has been the goal of a large amount of research in computer vision. Color constancy algorithms have dealt with this problem by defining different heuristics to select a unique solution from within the feasible set. The performance of these algorithms has shown that there is still a long way to go to globally solve this problem as a preliminary step in computer vision. In general, performance evaluation has been done by comparing the angular error between the estimated chromaticity and the chromaticity of a canonical illuminant, which is highly dependent on the image dataset. Recently, some workers have used high-level constraints to estimate illuminants; in this case selection is based on increasing the performance on the subsequent steps of the systems. In this paper we propose a new performance measure, the perceptual angular error. It evaluates the performance of a color constancy algorithm according to the perceptual preferences of humans, or naturalness (instead of the actual optimal solution) and is independent of the visual task. We show the results of a new psychophysical experiment comparing solutions from three different color constancy algorithms. Our results show that in more than a half of the judgments the preferred solution is not the one closest to the optimal solution. Our experiments were performed on a new dataset of images acquired with a calibrated camera with an attached neutral grey sphere, which better copes with the illuminant variations of the scene. |
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CIC |
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CAT @ cat @ VPV2009a |
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1171 |
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| Author |
S. Chanda; Umapada Pal; Oriol Ramos Terrades |
| Title |
Word-Wise Thai and Roman Script Identification |
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Journal |
| Year |
2009 |
Publication |
ACM Transactions on Asian Language Information Processing |
Abbreviated Journal |
TALIP |
| Volume |
8 |
Issue |
3 |
Pages |
1-21 |
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In some Thai documents, a single text line of a printed document page may contain words of both Thai and Roman scripts. For the Optical Character Recognition (OCR) of such a document page it is better to identify, at first, Thai and Roman script portions and then to use individual OCR systems of the respective scripts on these identified portions. In this article, an SVM-based method is proposed for identification of word-wise printed Roman and Thai scripts from a single line of a document page. Here, at first, the document is segmented into lines and then lines are segmented into character groups (words). In the proposed scheme, we identify the script of a character group combining different character features obtained from structural shape, profile behavior, component overlapping information, topological properties, and water reservoir concept, etc. Based on the experiment on 10,000 data (words) we obtained 99.62% script identification accuracy from the proposed scheme. |
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1530-0226 |
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DAG |
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no |
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Admin @ si @ CPR2009f |
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1869 |
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| Author |
Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez |
| Title |
Solving the Multi Object Occlusion Problem in a Multiple Camera Tracking System |
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Journal |
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2009 |
Publication |
Pattern Recognition and Image Analysis |
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19 |
Issue |
1 |
Pages |
165-171 |
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An efficient method to overcome adverse effects of occlusion upon object tracking is presented. The method is based on matching paths of objects in time and solves a complex occlusion-caused problem of merging separate segments of the same path. |
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1054-6618 |
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ISE |
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no |
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ISE @ ise @ MAR2009a |
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1160 |
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Fosca De Iorio; Carolina Malagelada; Fernando Azpiroz; M. Maluenda; C. Violanti; Laura Igual; Jordi Vitria; Juan R. Malagelada |
| Title |
Intestinal motor activity, endoluminal motion and transit |
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Journal Article |
| Year |
2009 |
Publication |
Neurogastroenterology & Motility |
Abbreviated Journal |
NEUMOT |
| Volume |
21 |
Issue |
12 |
Pages |
1264–e119 |
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A programme for evaluation of intestinal motility has been recently developed based on endoluminal image analysis using computer vision methodology and machine learning techniques. Our aim was to determine the effect of intestinal muscle inhibition on wall motion, dynamics of luminal content and transit in the small bowel. Fourteen healthy subjects ingested the endoscopic capsule (Pillcam, Given Imaging) in fasting conditions. Seven of them received glucagon (4.8 microg kg(-1) bolus followed by a 9.6 microg kg(-1) h(-1) infusion during 1 h) and in the other seven, fasting activity was recorded, as controls. This dose of glucagon has previously shown to inhibit both tonic and phasic intestinal motor activity. Endoluminal image and displacement was analyzed by means of a computer vision programme specifically developed for the evaluation of muscular activity (contractile and non-contractile patterns), intestinal contents, endoluminal motion and transit. Thirty-minute periods before, during and after glucagon infusion were analyzed and compared with equivalent periods in controls. No differences were found in the parameters measured during the baseline (pretest) periods when comparing glucagon and control experiments. During glucagon infusion, there was a significant reduction in contractile activity (0.2 +/- 0.1 vs 4.2 +/- 0.9 luminal closures per min, P < 0.05; 0.4 +/- 0.1 vs 3.4 +/- 1.2% of images with radial wrinkles, P < 0.05) and a significant reduction of endoluminal motion (82 +/- 9 vs 21 +/- 10% of static images, P < 0.05). Endoluminal image analysis, by means of computer vision and machine learning techniques, can reliably detect reduced intestinal muscle activity and motion. |
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Conference |
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| Notes |
OR;MILAB;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DMA2009 |
Serial |
1251 |
| Permanent link to this record |
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| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach |
Type |
Conference Article |
| Year |
2009 |
Publication |
IEEE Workshop on Applications of Computer Vision |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
This paper presents a new approach for the simultaneous estimation of the 3D pose and specific shape of a previously unseen face from a single image. The face pose is not limited to a frontal view. We describe a holistic approach based on a deformable 3D model and a learned statistical facial texture model. Rather than obtaining a person-specific facial surface, the goal of this work is to compute person-specific 3D face shape in terms of a few control parameters that are used by many applications. The proposed holistic approach estimates the 3D pose parameters as well as the face shape control parameters by registering the warped texture to a statistical face texture, which is carried out by a stochastic and genetic optimizer. The proposed approach has several features that make it very attractive: (i) it uses a single grey-scale image, (ii) it is person-independent, (iii) it is featureless (no facial feature extraction is required), and (iv) its learning stage is easy. The proposed approach lends itself nicely to 3D face tracking and face gesture recognition in monocular videos. We describe extensive experiments that show the feasibility and robustness of the proposed approach. |
| Address |
Utah, USA |
| Corporate Author |
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Thesis |
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| Publisher |
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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 |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1550-5790 |
ISBN |
978-1-4244-5497-6 |
Medium |
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| Area |
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Expedition |
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Conference |
WACV |
| Notes |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DoR2009b |
Serial |
1256 |
| Permanent link to this record |
