A flexible multimodal object tracking system

IEEE International Conference on Image Processing

Volumn 3, Issue , 2003, Pages 133-136

  Breit, Harald ^a   Rigoll, Gerhard ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; MATRIX ALGEBRA; PROBABILITY; PROBLEM SOLVING; VECTORS;

CONDENSATION ALGORITHMS; HIDDEN MARKOV MODELS; OBJECT TRACKING;

OBJECT RECOGNITION;

EID: 0345134223     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. H. Breit and G. Rigoll. Improved Person Tracking Using a Combined Pseudo-2D-HMM and Kalman Filter Approach with Automatic Background State Adaptation. In Proc. ICIP, Thessaloniki, Greece, Oct. 2001.
2. M. Isard and A. Blake. Condensation - Conditional Density Propagation for Visual Tracking. International Journal of Computer Vision, 29(1):5-28, Aug. 1998.
3. L. R. Rabiner and B. H. Huang. An Introduction to Hidden Markov Models. IEEE ASSP Magazine, Jan. 1986.
4. G. Rigoll, S. Eickeler, and S. Müller. Person Tracking in Real-World Scenarios Using Statistical Methods. In IEEE Int. Conf. on Automatic Face and Gesture Recognition, Grenoble, France, Mar. 2000.
5. G. Rigoll, S. Eickeler, and I. K. Yalcin. Performance of the Duisburg Statistical Object Tracker on Test Data for PETS2000. In IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance, pages 1-7, Grenoble, France, Mar. 2000.
6. K. Schwerdt. Appearance-Based Video Compression. PhD thesis, Inst. National Polytechnique de Grenoble, May 2001.