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» Building Adaptive Camera Models for Video Surveillance
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CVIU
2008
126views more  CVIU 2008»
14 years 9 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
BMVC
2001
14 years 12 months ago
Adaptive Visual System for Tracking Low Resolution Colour Targets
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
Pakorn KaewTrakulPong, Richard Bowden
TCSV
2008
148views more  TCSV 2008»
14 years 9 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
ECCV
2010
Springer
15 years 1 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
ICIP
2004
IEEE
15 years 11 months ago
A fluid model for error propagation characterization in video coding
An error corruption model (ECM) to describe the interframe error propagation phenomenon in a motion-compensated predictive video codec using fluid flow characteristics is proposed...
Xiaoming Sun, C. C. Jay Kuo