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» Robust background estimation for complex video sequences
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CVPR
2007
IEEE
14 years 9 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz
CVPR
2011
IEEE
13 years 4 months ago
Adequate Reconstruction of Transparent Objects on a Shoestring Budget
Reconstructing transparent objects is a challenging problem. While producing reasonable results for quite complex objects, existing approaches require custom calibration or somewh...
Sai-Kit Yeung, Tai-Pang Wu, Chi-keung Tang, Tony F...
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
14 years 2 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield
WACV
2012
IEEE
12 years 3 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
TIP
2002
114views more  TIP 2002»
13 years 7 months ago
New architecture for dynamic frame-skipping transcoder
Abstract--Transcoding is a key technique for reducing the bitrate of a previously compressed video signal. A high transcoding ratio may result in an unacceptable picture quality wh...
Kai-Tat Fung, Yui-Lam Chan, Wan-Chi Siu