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» On robustness of coupled adaptive filters
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PCM
2010
Springer
239views Multimedia» more  PCM 2010»
13 years 2 months ago
Adaptive Particle Filter Based on Energy Field for Robust Object Tracking in Complex Scenes
Particle filter (PF) based object tracking methods have been widely used in computer vision. However, traditional particle filter trackers cannot effectively distinguish the target...
Xin Sun, Hongxun Yao, Shengping Zhang, Shaohui Liu
PAMI
2010
248views more  PAMI 2010»
13 years 3 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
IUI
2004
ACM
13 years 10 months ago
Evaluating adaptive user profiles for news classification
Never before have so many information sources been available. Most are accessible on-line and some exist on the Internet alone. However, this large information quantity makes inte...
Ricardo Carreira, Jaime M. Crato
ICIP
2003
IEEE
14 years 6 months ago
Robust tracking of cyclic nonrigid motion
Cyclic motion underlies several human activities including exercising,running, and walking. Accurate tracking of such motion in video data helps in developing computer-aided appli...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
CVPR
2004
IEEE
14 years 6 months ago
Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
Sean M. O'Malley, Ioannis A. Kakadiaris