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» Tracking objects in video using motion and appearance models
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ICCV
2007
IEEE
14 years 9 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
CVPR
2008
IEEE
14 years 9 months ago
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation pr...
René Vidal, Roberto Tron, Shankar Rao, Yi M...
CVPR
2008
IEEE
13 years 9 months ago
An integrated background model for video surveillance based on primal sketch and 3D scene geometry
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
ICCV
1999
IEEE
14 years 9 months ago
Classification of Human Body Motion
The classification of human body motion is a difficult problem. In particular, the automatic segmentation of sequences containing more than one class of motion is challenging. An ...
Jens Rittscher, Andrew Blake
ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Free viewpoint video synthesis and presentation from multiple sporting videos
This paper introduces two kinds of free viewpoint observation systems for sporting events captured with uncalibrated multiple cameras in a stadium. In the first system (Viewpoint...
Naho Inamoto, Hideo Saito