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» Background estimation from non-time sequence images
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ICIP
2003
IEEE
15 years 13 days ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
ICIP
1998
IEEE
15 years 11 days ago
Reversing Motion Vector Fields
With the popular use of digital video (VCD, DVD, video conferencing, digital broadcasting system, digital TV and video editing), video streaming technology becomes much more impor...
Susie J. Wee
IJRR
2010
135views more  IJRR 2010»
13 years 8 months ago
On the Design and Use of a Micro Air Vehicle to Track and Avoid Adversaries
The MAV '08 competition focused on the problem of using air and ground vehicles to locate and rescue hostages being held in a remote building. To execute this mission, a numbe...
Ruijie He, Abraham Bachrach, Michael Achtelik, Alb...
CVPR
2004
IEEE
15 years 26 days ago
A Model for Dynamic Shape and Its Applications
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
Che-Bin Liu, Narendra Ahuja
CVPR
2008
IEEE
15 years 26 days ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...