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» Background estimation from non-time sequence images
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ICIP
2005
IEEE
16 years 3 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
CVPR
2010
IEEE
15 years 7 months ago
Novel Observation Model for Probabilistic Object Tracking
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang...
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ICIP
1999
IEEE
16 years 3 months ago
Automatic Caption Localization in Compressed Video
?We present a method to automatically localize captions in JPEG compressed images and the I-frames of MPEG compressed videos. Caption text regions are segmented from background ima...
Yu Zhong, HongJiang Zhang, Anil K. Jain
CVPR
1998
IEEE
16 years 4 months ago
Tracking People with Twists and Exponential Maps
This paper demonstrates a new visual motion estimation technique that is able to recover high degree-of-freedom articulated human body configurations in complex video sequences. W...
Christoph Bregler, Jitendra Malik
ICPR
2004
IEEE
16 years 3 months ago
Parallelizing Motion Segmentation by Perceptual Organization of XYT
The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Daniel Majchrzak, Sudeep Sarkar