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» Feature-based object modelling for visual surveillance
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CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
IVC
2006
248views more  IVC 2006»
13 years 7 months ago
Appearance models for occlusion handling
Objects in the world exhibit complex interactions. When captured in a video sequence, some interactions manifest themselves as occlusions. A visual tracking system must be able to...
Andrew W. Senior, Arun Hampapur, Ying-li Tian, Lis...
AVSS
2007
IEEE
14 years 2 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
ICIP
2005
IEEE
14 years 9 months ago
Robust tracking with motion estimation and kernel-based color modelling
Visual tracking is still a challenging problem in computer vision. The applications of Visual Tracking are far-reaching, ranging from surveillance and monitoring to smart rooms. I...
Patrick Bouthemy, Patrick Pérez, R. Venkate...
TCSV
2008
148views more  TCSV 2008»
13 years 7 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao