Probabilistic framework for segmenting people under occlusion

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2, Issue , 2001, Pages 145-152

  Elgammal, A M ^a   Davis, L S ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; DEPTH PERCEPTION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY; TWO DIMENSIONAL;

KERNEL DENSITY ESTIMATION; OCCLUSION;

IMAGE SEGMENTATION;

EID: 0034850450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Nonparametric background model for background subtraction
2. Hydra: Multiple people detection and tracking using silhouettes
3. Robust multiple car tracking with occlusion reasoning
4. Efficient on-line nonparametric kernel density estimation
5. Active hand tracking
6. Tracking groups of people
7. Colour model selection and adaptation in dynamic scenes
8. Tracking colour objects using adaptive mixture models
9. Pfinder: Real-time tracking of human body