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» Computing Pose Sequences Directly from Videos
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ICIP
2005
IEEE
14 years 10 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...
PREMI
2007
Springer
14 years 2 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
CIVR
2005
Springer
145views Image Analysis» more  CIVR 2005»
14 years 2 months ago
Person Tracking and Multicamera Video Retrieval Using Floor Sensors in a Ubiquitous Environment
A system for video retrieval from a ubiquitous environment is presented. Data from pressure-based floor sensors are used as a supplementary input for retrieving video from a large...
Gamhewage C. de Silva, Takayuki Ishikawa, Toshihik...
WACV
2005
IEEE
14 years 4 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
To facilitate accurate and efficient detection of motion patterns in video data, it is desirable to abstract from pixel intensity values to representations that explicitly and co...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
ECCV
2002
Springer
14 years 10 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand