Preceding car tracking using belief functions and a particle filter

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Klein, John ^a   Lecomte, Christele ^a   Miche, Pierre ^a  

^a UNIVERSITÉ ET INSA DE ROUEN   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; MONTE CARLO METHODS; PATTERN RECOGNITION; UNCERTAINTY ANALYSIS;

A-PARTICLES; BELIEF FUNCTION; BELIEF FUNCTION THEORY; MULTIPLE SOURCE; PROBABILITY THEORY; TRACKING ALGORITHM; TRACKING APPLICATION;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 77955740166     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761008     Document Type: Conference Paper

References (6)

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2. B. Han, S.-W. Joo, and L. S. Davis. Probabilistic fusion tracking using mixture kernel-bsaed bayesian filtering. In IEEE int. conf. on computer vision, Rio, september 2007.
3. J. Klein, C. Lecomte, and P. Miche. Fast color-texture discrimination: application to car-tracking. In IEEE ITSC, pages 546-541, 2007.
4. G. Lefaix, E. Marchand, and P. Bouthemy. Motion-based obstacle detection and tracking for car driving assistance. In IEEE ICPR, volume 4, Quebec (Canada), 2002.
5. P. Perez, J. Vermaak, and A. Blake. Data fusion for visual tracking with particles. Proc. IEEE, 92(3):495-513, 2004.
6. P. Smets and R. Kennes. The transferable belief model. Artificial Intelligence, 66(2):191-234, 1994.