A new method for object tracking based on regions instead of contours

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Amézquita, Nicolás ^a   Alquézar, René ^b   Serratosa, Francesc ^b  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY IMAGES; GRAPHIC METHODS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; PROBABILITY;

CONSECUTIVE FRAMES; OBJECT TRACKING; VIDEO SEQUENCES;

OBJECT RECOGNITION;

EID: 34948901337     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383454     Document Type: Conference Paper

References (14)

1. Sanfeliu A., Serratosa F., Alquézar R., "Second-order random graphs for modeling sets of attributed graphs and their application to object learning and recognition", Int. Journal of Pattern Recognition and Artificial Intelligence, Vnl. 18 (3), pp: 375-396, 2004.
2. G. L. Foresti, "Object Recognition and Tracking for Remote Video Surveillance", IEEE Transactions on Circuits and systems for video technology, vol. 9 (7), pp: 1045-1062, 1999.
3. S.K. Zhou, R. Chellamppa and B. Moghaddam, "Visual Tracking and Recognition Using Appearance-Adaptive Models in Particle Filters", vol. 13. (11), pp:1491-1506, 2004.
4. K-C. Lee, J. Ho, M-H. Yang, D. Kriegman, "Visual Tracking and Recognition using Probabilistic appearance manifolds", Computer Vision and Image Understanding, vol. 99, pp: 303-331, 2005.
5. F-S. Chen, C-M. Fu and C-L. Huang, "Hand Gesture recognition using a real-time tracking method and Hidden Markov Models", vol. 21, pp: 745-758, 2003.
6. B.S. Kemer, H. Rehbom, M. Aleksic and A. Haug, "Recognition and Tracking of spatial-temporal congested traffic patterns on freeways", vol 12, pp: 369-400, 2004.
7. Amezquita Gomez N., Alquézar R. and Serratosa F., "Object Recognition and Tracking in Video Sequences: A New Integrated Methodology", Proc. 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006, LNCS 4225, pp. 481 - 490, 2006.
8. Z. Tu, X. Chen, A.L. Yuille, S.C. Zhu, "Image Parsing: Unifying Segmentation, Detection, and Recognition", Proceedings in Ninth IEEE International Conference on Computer Vision, pp 18-25, 2003.
9. J. Malik, S. Belongie, T. Leung and J. Shi, "Contour and Texture Analysis for Image Segmentation", IJCV, vo1.43, (1), 2001.
10. Z. Tu and S.C. Zhu, "Image segmentation by Data Driven Markov chain Monte Carlo", IEEE Tmnr PAMI , vol. 24, (5), 2002.
11. Song Chun Zhu; Yuille, A.; "Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation", IEEE Trans. on Parrern Analysis and Machine Intelligence, Vol: 18, (9), pp: 884 - 900, 1996.
12. Mutch J. and Lowe D.G., "Multiclass Object Recognition with Sparse, Localized Features", Proceedings CVPR'06, New York pp. 11 - 18, June 2006.
13. Amezquita Gomez N. and Alquezar R. ,"Object Recognition in Indoor Video Sequences by Classifying Image Segmentation Regions Using Neural Networks", Proceedings 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, LNCS 3773, pp. 93 - 102, 2005.
14. Felzenszwalb P. and Huttenlocher D., "Efficiently computing a good segmentation", Proceedings CVPR'98, pp. 98-104, 1998.