Robust real time multi-layer foreground segmentation

Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Volumn , Issue , 2007, Pages 496-499

  Denman, Simon ^a   Chandran, Vinod ^a   Sridharan, Sridha ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ABANDONED OBJECT DETECTIONS; ACTIVE LAYER; EXTERNAL PROCESS; FEEDBACK MECHANISMS; FOREGROUND SEGMENTATION; LIGHTING COMPENSATION; LIGHTING CONDITIONS; MOTION DETECTORS; OBJECT TRACKING; PASSIVE LAYER; REAL TIME; SHADOW DETECTORS; SURVEILLANCE APPLICATIONS; SURVEILLANCE SYSTEMS; VARIABLE ILLUMINATION; VARIABLE THRESHOLDS;

LIGHTING;

COMPUTER VISION;

EID: 84872516562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. D. Butler, S. Sridharan, and V. M. Bove Jr. Real-time adaptive background segmentation. In ICASSP, 2003.
2. S. Denman, V. Chandran, and S. Sridharan. Adaptive optical flow for person tracking. In DICTA, Cairns, Australia, 2005.
3. M. Harville. A framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models. In ECCV, volume 3, Copenhagen, Denmark, 2002.
4. K. Kim, D. Harwood, and L. S. Davis. Background updating for visual surveillance. In ISVC, pages 337-346, 2005.
5. C. Stauffer and W. Grimson. Adaptive background mixture models for real-time tracking. In CVPR, volume 2, page 252 Vol. 2, 1999.
6. H. Wang and D. Suter. A re-evaluation of mixture-of-gaussian background modeling. In ICASSP, pages 1017-1020, Philadelphia, USA, 2005.