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Author |
W. Niessen; Antonio Lopez; W. Van Enk; P. Van Roermund; Bart M. Ter Haar Romeny; M. Viergever |
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In Vivo Analysis of Trabecular Bone Architecture. |
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Miscellaneous |
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1997 |
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Information Processing in Medical Imaging, pp. 435–440. |
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ADAS @ adas @ NLE1997b |
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67 |
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Author |
R. de Nijs; Sebastian Ramos; Gemma Roig; Xavier Boix; Luc Van Gool; K. Kühnlenz. |
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Title |
On-line Semantic Perception Using Uncertainty |
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Conference Article |
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2012 |
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International Conference on Intelligent Robots and Systems |
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IROS |
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4185-4191 |
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Semantic Segmentation |
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Visual perception capabilities are still highly unreliable in unconstrained settings, and solutions might not beaccurate in all regions of an image. Awareness of the uncertainty of perception is a fundamental requirement for proper high level decision making in a robotic system. Yet, the uncertainty measure is often sacrificed to account for dependencies between object/region classifiers. This is the case of Conditional Random Fields (CRFs), the success of which stems from their ability to infer the most likely world configuration, but they do not directly allow to estimate the uncertainty of the solution. In this paper, we consider the setting of assigning semantic labels to the pixels of an image sequence. Instead of using a CRF, we employ a Perturb-and-MAP Random Field, a recently introduced probabilistic model that allows performing fast approximate sampling from its probability density function. This allows to effectively compute the uncertainty of the solution, indicating the reliability of the most likely labeling in each region of the image. We report results on the CamVid dataset, a standard benchmark for semantic labeling of urban image sequences. In our experiments, we show the benefits of exploiting the uncertainty by putting more computational effort on the regions of the image that are less reliable, and use more efficient techniques for other regions, showing little decrease of performance |
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IROS |
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ADAS @ adas @ NRR2012 |
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2378 |
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Author |
Naveen Onkarappa; Angel Sappa |
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Title |
On-Board Monocular Vision System Pose Estimation through a Dense Optical Flow |
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Conference Article |
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2010 |
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7th International Conference on Image Analysis and Recognition |
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6111 |
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230-239 |
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This paper presents a robust technique for estimating on-board monocular vision system pose. The proposed approach is based on a dense optical flow that is robust against shadows, reflections and illumination changes. A RANSAC based scheme is used to cope with the outliers in the optical flow. The proposed technique is intended to be used in driver assistance systems for applications such as obstacle or pedestrian detection. Experimental results on different scenarios, both from synthetic and real sequences, shows usefulness of the proposed approach. |
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Povoa de Varzim (Portugal) |
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Springer Berlin Heidelberg |
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LNCS |
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0302-9743 |
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978-3-642-13771-6 |
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ICIAR |
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ADAS @ adas @ OnS2010 |
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1342 |
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Author |
A. Pujol; Antonio Lopez; Jose Luis Alba; Juan J. Villanueva |
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Title |
Ridges, Valleys and Hausdorff Based Similarity Measures for Face Detection and Matching |
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Miscellaneous |
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2001 |
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Proceedings of the 1st International Workshop on Pattern Recognition in Information Systems (PRIS’2001), ICEIS Press, Ana Fred and Anil K. Jain (Eds), pgs.80–90 |
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Setubal (Portugal) |
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ADAS @ adas @ PLA2001 |
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486 |
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Author |
Daniel Ponsa; Antonio Lopez; Felipe Lumbreras; Joan Serrat; T. Graf |
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Title |
3D Vehicle Sensor based on Monocular Vision |
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Miscellaneous |
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2005 |
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Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, 1096–1101, ISBN:0–7803–9216–7 |
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Vienna (Austria) |
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ADAS |
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no |
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ADAS @ adas @ PLL2005 |
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614 |
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Author |
Daniel Ponsa; Antonio Lopez; Joan Serrat; Felipe Lumbreras; T. Graf |
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Title |
Multiple Vehicle 3D Tracking Using an Unscented Kalman Filter |
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Miscellaneous |
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2005 |
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Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, 1108–1113, ISBN:0–7803–9216–7 |
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vehicle detection |
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Vienna (Austria) |
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ADAS |
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no |
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ADAS @ adas @ PLS2005 |
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615 |
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Author |
A. Pujol; Felipe Lumbreras; X. Varona; Juan J. Villanueva |
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Title |
Template matching through invariant eigenspace projection. |
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Miscellaneous |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. |
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Bilbao |
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ADAS |
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no |
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ADAS @ adas @ PLV1999 |
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6 |
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Author |
A. Pujol; Felipe Lumbreras; X. Varona; Juan J. Villanueva |
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Title |
Locating people in indoor scenes for real applications. |
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Miscellaneous |
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2000 |
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15 th International Conference on Pattern Recognition, 4:632–635. |
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Barcelona. |
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ADAS |
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no |
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ADAS @ adas @ PLV2000 |
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237 |
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Author |
Daniel Ponsa; Antonio Lopez |
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Title |
Vehicle Trajectory Estimation based on Monocular Vision |
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Conference Article |
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2007 |
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3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
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587-594 |
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vehicle detection |
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Girona (Spain) |
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ADAS |
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ADAS @ adas @ PoL2007a |
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785 |
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Daniel Ponsa; Antonio Lopez |
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Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion |
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2007 |
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3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
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47-54 |
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Girona (Spain) |
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ADAS |
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no |
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ADAS @ adas @ PoL2007b |
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787 |
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Author |
Daniel Ponsa; Antonio Lopez |
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Title |
Cascade of Classifiers for Vehicle Detection |
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Conference Article |
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2007 |
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Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989 |
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vehicle detection |
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Delft (Netherlands) |
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ADAS |
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no |
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ADAS @ adas @ PoL2007c |
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935 |
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Author |
Daniel Ponsa; Antonio Lopez |
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Title |
Variance reduction techniques in particle-based visual contour Tracking |
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2009 |
Publication |
Pattern Recognition |
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PR |
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42 |
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11 |
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2372–2391 |
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Contour tracking; Active shape models; Kalman filter; Particle filter; Importance sampling; Unscented particle filter; Rao-Blackwellization; Partitioned sampling |
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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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ADAS |
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no |
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ADAS @ adas @ PoL2009a |
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1168 |
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Author |
Daniel Ponsa; Antonio Lopez |
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Title |
Seguimiento Visual de Contornos Computerizado |
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Miscellaneous |
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2009 |
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UAB Divulga, Revista de divulgacion cientifica |
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spreading;ADAS |
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ADAS @ adas @ PoL2009b |
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1270 |
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Daniel Ponsa |
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A model based pedestrian tracking review |
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Report |
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2001 |
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CVC Technical Report #69 |
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CVC (UAB) |
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invisible;ADAS |
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ADAS @ adas @ Pon2001 |
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522 |
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Daniel Ponsa |
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Model-Based Visual Localisation of Contours and Vehicles |
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2007 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Phd Thesis |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Antonio Lopez;Xavier Roca |
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978-84-935251-3-2 |
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ADAS @ adas @ Pon2007 |
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1107 |
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