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» Learning Hierarchical Models of Scenes, Objects, and Parts
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CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 3 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
ICIP
2006
IEEE
15 years 11 months ago
Ghost Removal in High Dynamic Range Images
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appea...
Ahmet Oguz Akyüz, Erik Reinhard, Erum Arif Kh...
CVPR
2006
IEEE
15 years 12 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
TCSV
2002
229views more  TCSV 2002»
14 years 9 months ago
Automatic segmentation of moving objects in video sequences: a region labeling approach
Abstract--The emerging video coding standard MPEG-4 enables various content-based functionalities for multimedia applications. To support such functionalities, as well as to improv...
Yaakov Tsaig, Amir Averbuch
TROB
2011
255views more  TROB 2011»
14 years 4 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...