Robust observation model for visual tracking in particle filter

AEU - International Journal of Electronics and Communications

Volumn 61, Issue 3, 2007, Pages 186-194

  Li, Anping ^a   Jing, Zhongliang ^a   Hu, Shiqiang ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

M estimation technique; Occlusion handling; Particle filter; Robust observation model

Indexed keywords

ALGORITHMS; AUTOMATION; ESTIMATION; FILTRATION; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS);

M-ESTIMATION TECHNIQUES; OCCLUSION HANDLING; PARTICLE FILTERS; ROBUST OBSERVATION MODELS;

TRACKING (POSITION);

EID: 33846564427     PISSN: 14348411     EISSN: 16180399     Source Type: Journal    
DOI: 10.1016/j.aeue.2006.03.009     Document Type: Article

References (11)

1. Comaniciu D., Ramesh V., and Meer P. Kernel-based object tracking. IEEE Trans Pattern Anal Mach Intell 25 (2003) 564-577
2. Liu T.L., and Chen H.T. Real-time tracking using trust-region methods. IEEE Trans Pattern Anal Mach Intell 26 (2004) 397-402
3. Hager G.D., and Belhumeur P.N. Efficient region tracking with parametric models of geometry and illumination. IEEE Trans Pattern Anal Mach Intell 20 (1998) 1025-1039
4. Nguyen HT, Worring M, Van Den Boomgaard R. Occlusion robust adaptive template tracking. In: Proceedings of international conference of computer vision, Vancouver, 2001. p. 678-83.
5. Papanikolopoulos N., Khosla P., and Kanade T. Visual tracking of a moving target by a camera mounted on a robot: a combination of control and vision. IEEE Trans Robotics Automat 9 (1993) 14-35
6. Sidenbladh H, Black MJ, Fleet DJ. Stochastic tracking of 3D human figures using 2D image motion. Proceedings of European conference on computer vision, Dublin, 2000. p. 702-18.
7. Huber P.J. Robust statistics (1981), Wiley, New York
8. Arulampalam S., Maskell S., Gordon N., and Clapp T. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Trans Signal Process 50 (2002) 174-188
9. Doucet A. On sequential monte carlo methods for Bayesian filtering. Technical Report, Department of Engineering, Cambridge University, UK, 1998.
10. Rudolph VDM, Arnaud D, Nando DF, Eric W. The unscented particle filter. Technical Report CUED/F-INFENG/TR 380, Department of Engineering, Cambridge University, UK, 2000.
11. The test sequences are available at the websites: http://www.cs.toronto.edu/∼dross/ivt, and http://www.cs.toronto.edu/vis/projects/dudekfacesequence.html.