| Records |
Author  |
Eloi Puertas; Sergio Escalera; Oriol Pujol |
| Title |
Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning |
Type |
Conference Article |
| Year |
2010 |
Publication |
13th International Conference of the Catalan Association for Artificial Intelligence |
Abbreviated Journal |
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| Volume |
220 |
Issue |
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Pages |
193–200 |
| Keywords |
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| Abstract |
Sequential learning is that discipline of machine learning that deals with dependent data. In this paper, we use the Multi-scale Stacked Sequential Learning approach (MSSL) to solve the task of pixel-wise classification based on contextual information. The main contribution of this work is a shifting technique applied during the testing phase that makes possible, thanks to template images, to classify objects at different sizes. The results show that the proposed method robustly classifies such objects capturing their spatial relationships. |
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Editor |
R. Alquezar, A. Moreno, J. Aguilar |
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ISBN |
978-1-60750-642-3 |
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Expedition |
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Conference |
CCIA |
| Notes |
HUPBA;MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PEP2010 |
Serial |
1448 |
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| Author |
Ekain Artola |
| Title |
Human Attention Map Prediction Combining Visual Features |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
160 |
Issue |
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Pages |
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Thesis |
Bachelor's thesis |
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Approved |
no |
| Call Number |
Admin @ si @ Art2010 |
Serial |
1352 |
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| Author |
Eduard Vazquez; Theo Gevers; M. Lucassen; Joost Van de Weijer; Ramon Baldrich |
| Title |
Saliency of Color Image Derivatives: A Comparison between Computational Models and Human Perception |
Type |
Journal Article |
| Year |
2010 |
Publication |
Journal of the Optical Society of America A |
Abbreviated Journal |
JOSA A |
| Volume |
27 |
Issue |
3 |
Pages |
613–621 |
| Keywords |
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| Abstract |
In this paper, computational methods are proposed to compute color edge saliency based on the information content of color edges. The computational methods are evaluated on bottom-up saliency in a psychophysical experiment, and on a more complex task of salient object detection in real-world images. The psychophysical experiment demonstrates the relevance of using information theory as a saliency processing model and that the proposed methods are significantly better in predicting color saliency (with a human-method correspondence up to 74.75% and an observer agreement of 86.8%) than state-of-the-art models. Furthermore, results from salient object detection confirm that an early fusion of color and contrast provide accurate performance to compute visual saliency with a hit rate up to 95.2%. |
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| Notes |
ISE;CIC |
Approved |
no |
| Call Number |
CAT @ cat @ VGL2010 |
Serial |
1275 |
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| Author |
Eduard Vazquez; Ramon Baldrich |
| Title |
Non-supervised goodness measure for image segmentation |
Type |
Conference Article |
| Year |
2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
334–335 |
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| Address |
Gjovik, Norway |
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Conference |
CREATE |
| Notes |
CIC |
Approved |
no |
| Call Number |
CAT @ cat @ VaB2010 |
Serial |
1299 |
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| Author |
Diego Alejandro Cheda; Daniel Ponsa; Antonio Lopez |
| Title |
Camera Egomotion Estimation in the ADAS Context |
Type |
Conference Article |
| Year |
2010 |
Publication |
13th International IEEE Annual Conference on Intelligent Transportation Systems |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1415–1420 |
| Keywords |
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| Abstract |
Camera-based Advanced Driver Assistance Systems (ADAS) have concentrated many research efforts in the last decades. Proposals based on monocular cameras require the knowledge of the camera pose with respect to the environment, in order to reach an efficient and robust performance. A common assumption in such systems is considering the road as planar, and the camera pose with respect to it as approximately known. However, in real situations, the camera pose varies along time due to the vehicle movement, the road slope, and irregularities on the road surface. Thus, the changes in the camera position and orientation (i.e., the egomotion) are critical information that must be estimated at every frame to avoid poor performances. This work focuses on egomotion estimation from a monocular camera under the ADAS context. We review and compare egomotion methods with simulated and real ADAS-like sequences. Basing on the results of our experiments, we show which of the considered nonlinear and linear algorithms have the best performance in this domain. |
| Address |
Madeira Island (Portugal) |
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Edition |
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| ISSN |
2153-0009 |
ISBN |
978-1-4244-7657-2 |
Medium |
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Expedition |
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Conference |
ITSC |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ CPL2010 |
Serial |
1425 |
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| Author |
Debora Gil; Jaume Garcia; Aura Hernandez-Sabate; Enric Marti |
| Title |
Manifold parametrization of the left ventricle for a statistical modelling of its complete anatomy |
Type |
Conference Article |
| Year |
2010 |
Publication |
8th Medical Imaging |
Abbreviated Journal |
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| Volume |
7623 |
Issue |
762304 |
Pages |
304 |
| Keywords |
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| Abstract |
Distortion of Left Ventricle (LV) external anatomy is related to some dysfunctions, such as hypertrophy. The architecture of myocardial fibers determines LV electromechanical activation patterns as well as mechanics. Thus, their joined modelling would allow the design of specific interventions (such as peacemaker implantation and LV remodelling) and therapies (such as resynchronization). On one hand, accurate modelling of external anatomy requires either a dense sampling or a continuous infinite dimensional approach, which requires non-Euclidean statistics. On the other hand, computation of fiber models requires statistics on Riemannian spaces. Most approaches compute separate statistical models for external anatomy and fibers architecture. In this work we propose a general mathematical framework based on differential geometry concepts for computing a statistical model including, both, external and fiber anatomy. Our framework provides a continuous approach to external anatomy supporting standard statistics. We also provide a straightforward formula for the computation of the Riemannian fiber statistics. We have applied our methodology to the computation of complete anatomical atlas of canine hearts from diffusion tensor studies. The orientation of fibers over the average external geometry agrees with the segmental description of orientations reported in the literature. |
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SPIE |
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Conference |
SPIE |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ GGH2010a |
Serial |
1522 |
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| Author |
David Rotger; Petia Radeva; N. Bruining |
| Title |
Automatic Detection of Bioabsorbable Coronary Stents in IVUS Images using a Cascade of Classifiers |
Type |
Journal Article |
| Year |
2010 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
Abbreviated Journal |
TITB |
| Volume |
14 |
Issue |
2 |
Pages |
535 – 537 |
| Keywords |
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| Abstract |
Bioabsorbable drug-eluting coronary stents present a very promising improvement to the common metallic ones solving some of the most important problems of stent implantation: the late restenosis. These stents made of poly-L-lactic acid cause a very subtle acoustic shadow (compared to the metallic ones) making difficult the automatic detection and measurements in images. In this paper, we propose a novel approach based on a cascade of GentleBoost classifiers to detect the stent struts using structural features to code the information of the different subregions of the struts. A stochastic gradient descent method is applied to optimize the overall performance of the detector. Validation results of struts detection are very encouraging with an average F-measure of 81%. |
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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 |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ RRB2010 |
Serial |
1287 |
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| Author |
David Geronimo; Antonio Lopez; Angel Sappa; Thorsten Graf |
| Title |
Survey on Pedestrian Detection for Advanced Driver Assistance Systems |
Type |
Journal Article |
| Year |
2010 |
Publication |
IEEE Transaction on Pattern Analysis and Machine Intelligence |
Abbreviated Journal |
TPAMI |
| Volume |
32 |
Issue |
7 |
Pages |
1239–1258 |
| Keywords |
ADAS, pedestrian detection, on-board vision, survey |
| Abstract |
Advanced driver assistance systems (ADASs), and particularly pedestrian protection systems (PPSs), have become an active research area aimed at improving traffic safety. The major challenge of PPSs is the development of reliable on-board pedestrian detection systems. Due to the varying appearance of pedestrians (e.g., different clothes, changing size, aspect ratio, and dynamic shape) and the unstructured environment, it is very difficult to cope with the demanded robustness of this kind of system. Two problems arising in this research area are the lack of public benchmarks and the difficulty in reproducing many of the proposed methods, which makes it difficult to compare the approaches. As a result, surveying the literature by enumerating the proposals one-after-another is not the most useful way to provide a comparative point of view. Accordingly, we present a more convenient strategy to survey the different approaches. We divide the problem of detecting pedestrians from images into different processing steps, each with attached responsibilities. Then, the different proposed methods are analyzed and classified with respect to each processing stage, favoring a comparative viewpoint. Finally, discussion of the important topics is presented, putting special emphasis on the future needs and challenges. |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
0162-8828 |
ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ GLS2010 |
Serial |
1340 |
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| Author |
David Geronimo; Antonio Lopez |
| Title |
Deteccion de Peatones para Sistemas Avanzados de Asistencia al Conductor |
Type |
Miscellaneous |
| Year |
2010 |
Publication |
UAB Divulga |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
Los sistemas de asistencia al conductor, y particularmente los sistemas de protección de peatones, representan uno de los campos de investigación más activos dedicados a la mejora de la seguridad vial. El mayor desafío es el desarrollo de sistemas a bordo fiables de detección de peatones. En esta revisión del estado de la técnica de la detección de peatones, se divide el problema en diferentes etapas, cada una con responsabilidades propias dentro del sistema. Esta división facilita el posterior análisis y discusión de cada uno de los métodos en la literatura, favoreciendo la comparación entre ellos. Finalmente se discuten los temas más importantes de este campo poniendo especial énfasis en las necesidades actuales y los desafíos futuros. |
| Address |
Bellaterra (Catalonia), Spain |
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Edition |
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Conference |
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| Notes |
spreading;ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ GeL2010a |
Serial |
1414 |
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| Author |
David Geronimo; Antonio Lopez |
| Title |
Sistema de deteccion de peatones |
Type |
Miscellaneous |
| Year |
2010 |
Publication |
UAB Divulga |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
Durante la próxima década, los sistemas de protección de peatones jugarán un papel fundamental en el reto de mejorar la seguridad viaria. El objetivo principal de estos sistemas, detectar peatones en entornos urbanos, implica procesar imágenes de escenas exteriores desde una plataforma móvil para buscar objetos de aspecto variable como son las personas. Dadas estas dificultades, estos sistemas hacen uso de las últimas técnicas de visión por computador. Esta propuesta consiste en un sistema de tres módulos basado tanto en información 2D como en 3D. El primer módulo utiliza información 3D para hacer una estimación de los parámetros de la carretera y seleccionar regiones de interés que serán analizadas después. El segundo módulo utiliza un clasificador de ventanas 2D para etiquetar las mencionadas regiones como peatón o no peatón. El módulo final vuelve a utilizar de nuevo la información 3D para verificar las regiones clasificadas y, con información 2D, refinar los resultados finales. Los resultados experimentales son positivos tanto en rendimiento como en tiempo de cómputo. |
| Address |
Bellaterra (Spain) |
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Summary Language |
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| Notes |
spreading;ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ GeL2010b |
Serial |
1473 |
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| Author |
David Geronimo; Angel Sappa; Daniel Ponsa; Antonio Lopez |
| Title |
2D-3D based on-board pedestrian detection system |
Type |
Journal Article |
| Year |
2010 |
Publication |
Computer Vision and Image Understanding |
Abbreviated Journal |
CVIU |
| Volume |
114 |
Issue |
5 |
Pages |
583–595 |
| Keywords |
Pedestrian detection; Advanced Driver Assistance Systems; Horizon line; Haar wavelets; Edge orientation histograms |
| Abstract |
During the next decade, on-board pedestrian detection systems will play a key role in the challenge of increasing traffic safety. The main target of these systems, to detect pedestrians in urban scenarios, implies overcoming difficulties like processing outdoor scenes from a mobile platform and searching for aspect-changing objects in cluttered environments. This makes such systems combine techniques in the state-of-the-art Computer Vision. In this paper we present a three module system based on both 2D and 3D cues. The first module uses 3D information to estimate the road plane parameters and thus select a coherent set of regions of interest (ROIs) to be further analyzed. The second module uses Real AdaBoost and a combined set of Haar wavelets and edge orientation histograms to classify the incoming ROIs as pedestrian or non-pedestrian. The final module loops again with the 3D cue in order to verify the classified ROIs and with the 2D in order to refine the final results. According to the results, the integration of the proposed techniques gives rise to a promising system. |
| Address |
Computer Vision and Image Understanding (Special Issue on Intelligent Vision Systems), Vol. 114(5):583-595 |
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Edition |
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| ISSN |
1077-3142 |
ISBN |
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Medium |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ GSP2010 |
Serial |
1341 |
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| Author |
David Geronimo; Angel Sappa; Antonio Lopez |
| Title |
Stereo-based Candidate Generation for Pedestrian Protection Systems |
Type |
Book Chapter |
| Year |
2010 |
Publication |
Binocular Vision: Development, Depth Perception and Disorders |
Abbreviated Journal |
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| Volume |
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Issue |
9 |
Pages |
189–208 |
| Keywords |
Pedestrian Detection |
| Abstract |
This chapter describes a stereo-based algorithm that provides candidate image windows to a latter 2D classification stage in an on-board pedestrian detection system. The proposed algorithm, which consists of three stages, is based on the use of both stereo imaging and scene prior knowledge (i.e., pedestrians are on the ground) to reduce the candidate searching space. First, a successful road surface fitting algorithm provides estimates on the relative ground-camera pose. This stage directs the search toward the road area thus avoiding irrelevant regions like the sky. Then, three different schemes are used to scan the estimated road surface with pedestrian-sized windows: (a) uniformly distributed through the road surface (3D); (b) uniformly distributed through the image (2D); (c) not uniformly distributed but according to a quadratic function (combined 2D-3D). Finally, the set of candidate windows is reduced by analyzing their 3D content. Experimental results of the proposed algorithm, together with statistics of searching space reduction are provided. |
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NOVA Publishers |
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ADAS |
Approved |
no |
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ADAS @ adas @ GSL2010 |
Serial |
1301 |
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| Author |
David Geronimo |
| Title |
A Global Approach to Vision-Based Pedestrian Detection for Advanced Driver Assistance Systems |
Type |
Book Whole |
| Year |
2010 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
At the beginning of the 21th century, traffic accidents have become a major problem not only for developed countries but also for emerging ones. As in other scientific areas in which Artificial Intelligence is becoming a key actor, advanced driver assistance systems, and concretely pedestrian protection systems based on Computer Vision, are becoming a strong topic of research aimed at improving the safety of pedestrians. However, the challenge is of considerable complexity due to the varying appearance of humans (e.g., clothes, size, aspect ratio, shape, etc.), the dynamic nature of on-board systems and the unstructured moving environments that urban scenarios represent. In addition, the required performance is demanding both in terms of computational time and detection rates. In this thesis, instead of focusing on improving specific tasks as it is frequent in the literature, we present a global approach to the problem. Such a global overview starts by the proposal of a generic architecture to be used as a framework both to review the literature and to organize the studied techniques along the thesis. We then focus the research on tasks such as foreground segmentation, object classification and refinement following a general viewpoint and exploring aspects that are not usually analyzed. In order to perform the experiments, we also present a novel pedestrian dataset that consists of three subsets, each one addressed to the evaluation of a different specific task in the system. The results presented in this thesis not only end with a proposal of a pedestrian detection system but also go one step beyond by pointing out new insights, formalizing existing and proposed algorithms, introducing new techniques and evaluating their performance, which we hope will provide new foundations for future research in the area. |
| Address |
Antonio Lopez;Krystian Mikolajczyk;Jaume Amores;Dariu M. Gavrila;Oriol Pujol;Felipe Lumbreras |
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Thesis |
Ph.D. thesis |
| Publisher |
Ediciones Graficas Rey |
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Editor |
Antonio Lopez;Krystian Mikolajczyk;Jaume Amores;Dariu M. Gavrila;Oriol Pujol;Felipe Lumbreras |
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Edition |
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ISBN |
978-84-936529-5-1 |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ Ger2010 |
Serial |
1279 |
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| Author |
David Fernandez |
| Title |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
Type |
Report |
| Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
161 |
Issue |
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Pages |
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Thesis |
Master's thesis |
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DAG |
Approved |
no |
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Admin @ si @ Fer2010b |
Serial |
1353 |
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| Author |
David Augusto Rojas; Joost Van de Weijer; Theo Gevers |
| Title |
Color Edge Saliency Boosting using Natural Image Statistics |
Type |
Conference Article |
| Year |
2010 |
Publication |
5th European Conference on Colour in Graphics, Imaging and Vision and 12th International Symposium on Multispectral Colour Science |
Abbreviated Journal |
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Issue |
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Pages |
228–234 |
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| Abstract |
State of the art methods for image matching, content-based retrieval and recognition use local features. Most of these still exploit only the luminance information for detection. The color saliency boosting algorithm has provided an efficient method to exploit the saliency of color edges based on information theory. However, during the design of this algorithm, some issues were not addressed in depth: (1) The method has ignored the underlying distribution of derivatives in natural images. (2) The dependence of information content in color-boosted edges on its spatial derivatives has not been quantitatively established. (3) To evaluate luminance and color contributions to saliency of edges, a parameter gradually balancing both contributions is required.
We introduce a novel algorithm, based on the principles of independent component analysis, which models the first order derivatives of color natural images by a generalized Gaussian distribution. Furthermore, using this probability model we show that for images with a Laplacian distribution, which is a particular case of generalized Gaussian distribution, the magnitudes of color-boosted edges reflect their corresponding information content. In order to evaluate the impact of color edge saliency in real world applications, we introduce an extension of the Laplacian-of-Gaussian detector to color, and the performance for image matching is evaluated. Our experiments show that our approach provides more discriminative regions in comparison with the original detector. |
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Joensuu, Finland |
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9781617388897 |
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CGIV/MCS |
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CAT @ cat @ RWG2010 |
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1306 |
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