Extraction of 3D features from complex environments in visual tracking applications

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn , Issue , 2007, Pages

  Marrón, Marta ^a   García, Juan Carlos ^a   Sotelo, Miguel Ángel ^a   Pérez, Daniel Pizarro ^a   Muñoz, Ignacio Bravo ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Dynamic crowded indoor environments; Stereo vision; Tracking

Indexed keywords

ALGORITHMS; CAMERAS; CLASSIFICATION (OF INFORMATION); DATA PROCESSING; MOBILE ROBOTS; STEREO VISION; TRACKING (POSITION); VISUAL COMMUNICATION;

DYNAMIC-CROWDED INDOOR ENVIRONMENTS; VISUAL DATA PROCESSING;

FEATURE EXTRACTION;

EID: 34648833324     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/imtc.2007.379319     Document Type: Conference Paper

References (14)

1. M. Isard, A. Blake, "Icondensation: Unifying low-level and high-level tracking in a stochastic framework", Proceedings of the Fifth European Conference on Computer Vision (ECCV98), Vol. 1, pp. 893-908, 1998.
2. Y. Chen, T.S. Huang, Y. Rui. "Mode-based multi-hypothesis head tracking using parametric contours", Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FGR02), ISBN: 0-7695-1602-5, Washington, May 2002.
3. Z. Khan, T. Balch, F. Dellaert, "A Rao-Blackwellized Particle Filter for Eigen Tracking", Proceedings of the Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR04), pp. 980-986, Washington, June 2004.
4. P, Torma, C. Szepesvári. "Sequential importance sampling for visual tracking reconsidered", Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, ISBN: 0-9727358-0-1, Key West, January 2003.
5. J.M. Odobez, D. Gatica-Perez. "Embedding motion model-based stochastic tracking", Proceedings of the Seventeenth International Conference on Pattern Recognition (ICPR04), Vol. 2, pp. 815-818, Cambridge, August 2004.
6. K. Okuma, A. Taleghani, N. De Freitas, J.J. Little, D.G. Lowe. "A boosted particle filter: multi-target detection and tracking", Proceedings of the Eighth European Conference on Computer Vision (ECCV04), Lecture Notes in Computer Science, ISBN: 3-540-21984-6, Vol. 3021, Part I, pp. 28-39 Prague, May 2004.
7. M. Marrón. J.C. García. M.A. Sotelo, E.J. Bueno. "Clustering methods for 3D vision data and its application in a probabilistic estimator for tracking multiple objects", Proceedings of the Thirty-First Annual Conference of the IEEE Industrial Electronics Society (IECON05), ISBN: 0-7803-9252-3, pp. 2017-2022, Raleigh, November 2005.
8. M. Marrón, J.C. Garcia, M.A. Sotelo, D. Fernandez, D. Pizarro, "XPFCP: An extended particle filter for tracking multiple and dynamic objects in complex environments", Proceedings of the IEEE International Symposium on Industrial Electronics 2005 (ISIE05), ISBN: 0-7803-8738-4. Vol. I-IV, pp. 1587-1593, Dubrovnik, June 2005.
9. M. Marron, M.A. Sotelo, J.C. Garcia. "Design and applications of an extended particle filter with a pre-clustering process, XPFCP", Proceedings of the IEEE Conference on Mechatronics & Robotics 2004 (MECHROB04), ISBN: 3-938153-50-X, Vol. 2/4, pp. 187-191, Aachen, September 2004.
10. I. Parra, D. Fernández, M.A. Sotelo, P. Revenga, L.M. Bergasa, M. Ocaoňa, J. Nuevo, R. Flores. "Pedestrian recognition in road sequences", Proceedings of the Fifth WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA06), ISBN: 960-8457-41-6, pp: 273-278, Madrid, February 2006.
11. D.M.Gavrila, V. Philomin. "Real-time object detection for smart vehicles", Proceedings of the Seventh IEEE International Conference on Computer Vision (ICCV99), Vol. 1, pp. 87-93, Corfu, September 1999.
12. G. Xu, Z. Zhang. Epipolar Geometry in Stereo, Motion and Object Recognition: A Unified Approach. 1st ed. Kluwer Academic Publishers, London 1996.
13. B. Boufama. Reconstruction tridimensionnelle en vision par ordinateur: Cas des cameras non etalonnees. PhD Thesis, INP de Grenoble, 1994.
14. F.J. Canny. "A computational approach to edge detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 8, no 6, pp: 679-698, November, 1986.