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» Using Optical Flow for Tracking
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CAIP
2003
Springer
176views Image Analysis» more  CAIP 2003»
14 years 2 months ago
Evaluation of an Adaptive Composite Gaussian Model in Video Surveillance
Video surveillance systems seek to automatically identify events of interest in a variety of situations. Extracting a moving object from background is the most important step of t...
Qi Zang, Reinhard Klette
IROS
2008
IEEE
126views Robotics» more  IROS 2008»
14 years 3 months ago
An optical external localization system and applications to indoor tracking
— Precise robot positioning is important for many applications in indoor environments. Current solutions to the indoor localization problem are either both unreliable and inaccur...
Srujan Linga, Binayak Roy, H. Harry Asada, Daniela...
DAGM
2006
Springer
14 years 14 days ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
CVPR
2009
IEEE
15 years 3 months ago
Capturing Multiple Illumination Conditions using Time and Color Multiplexing
Many vision and graphics problems such as relighting, structured light scanning and photometric stereo, need im- ages of a scene under a number of different illumination conditi...
Bert De Decker (Hasselt University), Jan Kautz (Un...
ICPR
2008
IEEE
14 years 10 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali