Learning probabilistic structure for human motion detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2001, Pages

  Song, Yang ^a   Goncalves, Luis ^a   Perona, Pietro ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ENTROPY; MOTION ESTIMATION; PROBABILITY DENSITY FUNCTION;

SPATIOTEMPORAL ENERGY PATTERNS;

LEARNING SYSTEMS;

EID: 0035691501     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Graphical templates for model registration
2. 3d position, attitude and shape input using video tracking of hands and lips
3. Tracking people with twists and exponential maps
4. Approximating discrete probability distributions with dependence trees
5. Learning bayesian networks from data
6. The visual analysis of human movement: A survey
7. Monocular tracking of the human arm in 3d
8. Who, when, where, what: A real time system for detecting and tracking people
9. Human tracking with mixtures of trees
10. Learning with mixtures of trees
11. Detecting activities
12. Digiteyes: Vision-based hand tracking for human-computer interaction
13. Incremental recognition of pedestrians from image sequences
14. Towards detection of human motion
15. Monocular perception of biological motion in johansson displays
16. Tracking persons in monocular image sequences
17. Unsupervised learning of models for recognition
18. Parameterized modeling and recognition of activites