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PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
13 years 9 months ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
DICTA
2009
13 years 5 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
EMMCVPR
2009
Springer
13 years 11 months ago
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
We present an approach for identifying and segmenting independently moving objects from dense scene flow information, using a moving stereo camera system. The detection and segmen...
Andreas Wedel, Annemarie Meißner, Clemens Ra...
ICIP
2008
IEEE
13 years 11 months ago
An adaptive background model initialization algorithm with objects moving at different depths
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Chia-Chih Chen, J. K. Aggarwal
ICCV
2011
IEEE
12 years 4 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden