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» Gaussian Process Dynamical Models for Human Motion
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ICASSP
2011
IEEE
14 years 7 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
ICIP
2009
IEEE
16 years 4 months ago
Lcd Motion Blur Reduction Using Fir Filter Banks
Due to the sample-and-hold nature of Liquid Crystal Display (LCD) image formation, LCDs suffer from motion picture blur. This is especially evident during scenes containing fast m...
MVA
2007
193views Computer Vision» more  MVA 2007»
15 years 5 months ago
A Video Motion Capture System for Interactive Games
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...
Ryuzo Okada, Nobuhiro Kondoh, Björn Stenger
MVA
2010
206views Computer Vision» more  MVA 2010»
14 years 10 months ago
Estimating the motion of plant root cells from in vivo confocal laser scanning microscopy images
Images of cellular structures in growing plant roots acquired using confocal laser scanning microscopy (CLSM) have some unusual properties that make motion estimation challenging....
Timothy J. Roberts, Stephen J. McKenna, Cheng-Jin ...
ICIP
2008
IEEE
16 years 5 months ago
Motion blur free HDR image acquisition using multiple exposures
The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we ...
Takao Jinno, Masahiro Okuda