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» Closed-loop Adaptation for Robust Tracking
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CVPR
2010
IEEE
14 years 2 days ago
An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
IVC
2007
142views more  IVC 2007»
13 years 7 months ago
Fast stochastic optimization for articulated structure tracking
Recently, an optimization approach for fast visual tracking of articulated structures based on Stochastic Meta-Descent (SMD) [7] has been presented. SMD is a gradient descent with...
Matthieu Bray, Esther Koller-Meier, Nicol N. Schra...
INTERACT
1997
13 years 9 months ago
Robust Computer Vision for Computer Mediated Communication
In Computer Mediated Communication, static video cameras provide a restricted field of view of remote sites. The concept of virtual window has been introduced to alleviate this pro...
François Bérard, Joëlle Coutaz,...
CDC
2009
IEEE
166views Control Systems» more  CDC 2009»
14 years 8 days ago
Composite adaptation for neural network-based controllers
—With the motivation of using more information to update the parameter estimates to achieve improved tracking performance, composite adaptation that uses both the system tracking...
Parag M. Patre, Shubhendu Bhasin, Zachary D. Wilco...
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi