Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 62-65

  Everingham, M ^a   Thomas, B ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; COMPUTER SIMULATION; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

MIXTURE OF HISTOGRAMS; SUPERVISED SEGMENTATION;

IMAGE SEGMENTATION;

EID: 0035164085     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Learning patterns of activity using real-time tracking
2. Supervised object segmentation and tracking for MPEG-4 VOP generation
3. Segmentation of an image sequence using multi-dimensional image attributes
4. Object tracking by adaptive modeling
5. Tracking colour objects using adaptive mixture models
6. A tutorial on support vector machines for pattern recognition
7. Direct computation of shape cues based on scale-adapted spatial derivative operators
8. Color- and texture-based image segmentation using EM and its application to content-based image retrieval