A sequential Monte-Carlo and DSmT based approach for conflict handling in case of multiple targets tracking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4633 LNCS, Issue , 2007, Pages 526-537

  Sun, Yi ^a   Bentabet, Layachi ^a  

^a BISHOP'S UNIVERSITY   (Canada)

Author keywords

Cue combination; Dezert smarandache theory; Multiple targets tracking; Sequential Monte Carlo

Indexed keywords

DIGITAL FILTERS; FORMAL LOGIC; MATHEMATICAL MODELS; TARGET TRACKING;

CUE COMBINATION; DEZERT-SMARANDACHE THEORY; MULTIPLE TARGETS TRACKING; SEQUENTIAL MONTE-CARLO;

MONTE CARLO METHODS;

EID: 37849023114     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74260-9_47     Document Type: Conference Paper

References (6)

1. Chen, C., Lin, X., Shi, Y.: Moving object tracking under varying illumination conditions. Pat. Rec. Let. 27, 1632-1643 (2006)
2. Ozyilidiz, E., Krahnstover, N., Sharma, R.: Adaptive texture and color segmentation for tracking moving objects. Pat. Rec. 35(10), 2013-2029 (2002)
3. McCane, B., Galvin, B., Novins, K.: Algorithmic fusion for more robust feature tracking. Int. J. of Com. Vis. 49(1), 79-89 (2002)
4. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)
5. Smarandache, F., Dezert, J.: Applications and Advances of DSmT for Information Fusion. Am. Res. Press, Rehoboth (2004)
6. Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking. IEEE Tran. On Sig. Proc. 50(2), 174-188 (2002)