Multiple feature fusion for tracking of moving objects in video surveillance

Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008

Volumn 1, Issue , 2008, Pages 554-559

  Wang, Huibin ^a   Liu, Chaoying ^a   Xu, Lizhong ^a   Tang, Min ^a   Wu, Xuewen ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MODELS; INTELLIGENT TRANSPORTATION SYSTEMS; MOVING OBJECTS; MOVING-OBJECT TRACKING; MULTI-FEATURE FUSIONS; MULTIPLE FEATURE FUSIONS; OBSERVATION MODELS; OCCLUSION PROBLEMS; ORIENTATION INFORMATIONS; PARTICLE FILTERS; STOCHASTIC SELECTIONS; STRONG TRACKING; VIDEO SURVEILLANCES; VIDEO-SURVEILLANCE APPLICATIONS;

AIR FILTERS; ARTIFICIAL INTELLIGENCE; INTELLIGENT CONTROL; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NONLINEAR FILTERING; RANDOM PROCESSES; SIGNAL FILTERING AND PREDICTION; STOCHASTIC MODELS; TRACKING (POSITION); VEHICLE LOCATING SYSTEMS; VIDEO AMPLIFIERS;

SECURITY SYSTEMS;

EID: 60349112959     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIS.2008.86     Document Type: Conference Paper

References (9)

1. J. W. Lee, M. S. Kim, and I. S. Kweon, "A kalman filter based visual tracking algorithm for an object moving in 3d," Intl. Conference on Intelligent Robots and Systems, pp. 342-347, August 1995.
2. Y. Rui and Y. Chen, "Better proposal distributions: Object tracking using unscented particle filter," IEEE CVPR, vol. 2, pp. 786-793, December 2001.
3. E. Maggio, F. Smeraldi, A. Cavallaro, "Combining colour and orientation for adaptive particle filter-based tracking," Proc. of British Machine Vision Conference, September 2005.
4. P. Perez, C. Hue, J. Vermaak, M. Gangnet, "Color-based probabilistic tracking," Proc. of European Conference on Computer Vision, pp. 661-675, May 2002.
5. K. Nummiaro, E.K. Meierb, L.V. Gool, "An adaptive color-based particle filter," Image and Vision Computing, vol. 21, pp. 99-110, January, 2003.
6. K. Nickels and S. Hutchinson, "Estimating uncertainty in ssd-based feature tracking," Image and Vision Computing, vol. 20, No. 1, pp. 47-58, January 2002.
7. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, No. 2, pp. 174-188, February 2002.
8. A.S. Sabbi, M. Huber, "Particle filter based object tracking in a stereo vision system," Proc. of IEEE Int. Conf. on Robotics and Automation(ICRA), pp. 2409-2415, May 2006.
9. P. Perez, J. Vermaak, and A. Blake, "Data fusion for visual tracking with particles," Proceedings of IEEE, vol. 92, No. 3, pp: 495-513, March 2004