Online appearance learning for 3D articulated human tracking

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 1, 2002, Pages 424-428

  Roberts, Timothy J ^a   McKenna, Stephen J ^a   Ricketts, Ian W ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; HUMAN FORM MODELS; LEARNING SYSTEMS; OPTIMIZATION; COMPUTATIONAL EFFICIENCY; GRAPHIC METHODS;

COARSE SAMPLING; HISTOGRAMS; HUMAN TRACKING;

PATTERN RECOGNITION;

APPEARANCE LEARNING; ARTICULATED BODY MODEL; GRADIENT-BASED SEARCH; HUMAN TRACKING; MERGING AND SPLITTING; MODELLING FRAMEWORK; PRIOR KNOWLEDGE; SURFACE REGION;

EID: 33751574779     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

1. D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of nonrigid objects using mean shift. Computer Vision and Pattern Recognition, pages 673-678, 2000.
2. S. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler. Tracking groups of people. Computer Vision and Image Understanding, 80(1):42-56, October 2000.
3. T. Moeslund and E. Granum. A survey of computer vision-based human motion capture. Computer Vision and Image Understanding, 81(3):231-268, March 2001.
4. H. Sidenbladh and M. Black. Learning image statistics for Bayesian tracking. In International Conference on Computer Vision, volume 2, pages 709-716, 2001.
5. H. Sidenbladh, F. de la Torre, and M. Black. A framework for modeling the appearance of 3D articulated figures. In Automatic Face and Gesture Recognition, pages 368-375, 2000.
6. S. Wachter and H. Nagel. Tracking persons in monocular image sequences. Computer Vision and Image Understanding, 74(3):174-192, June 1999.