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» A Duality Based Approach for Realtime TV-L1 Optical Flow
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ICPR
2008
IEEE
14 years 1 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
ICCV
2003
IEEE
14 years 9 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
JUCS
2007
104views more  JUCS 2007»
13 years 7 months ago
Real-time Architecture for Robust Motion Estimation under Varying Illumination Conditions
: Motion estimation from image sequences is a complex problem which requires high computing resources and is highly affected by changes in the illumination conditions in most of th...
Javier Díaz, Eduardo Ros, Rafael Rodr&iacut...
ICIP
2004
IEEE
14 years 9 months ago
Robust motion-based image segmentation using fusion
To support real-time tracking of objects in video sequences, there has been considerable effort directed at developing optical flow and general motion-based image segmentation alg...
Michael E. Farmer, Xiaoguang Lu, Hong Chen, Anil K...
COST
2008
Springer
287views Multimedia» more  COST 2008»
13 years 9 months ago
Facial Expressions Recognition from Image Sequences
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...