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ICCV
2009
IEEE
15 years 2 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
ICIP
2005
IEEE
16 years 6 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
TIP
2008
344views more  TIP 2008»
15 years 4 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Real-time video watermarking based on extended m-sequences
This paper presents an oblivious real-time video watermarking scheme in which extended m-sequences is selected as watermark pattern. The good balance property of extended m-sequen...
Fuhao Zou, Zhengding Lu, Hefei Ling, Yanwei Yu
149
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APVIS
2004
15 years 5 months ago
A Survey, Classification and Analysis of Perceptual Concepts and their Application for the Effective Visualisation of Complex In
Information visualisation has become increasingly important in science, engineering and commerce as a tool to convey and explore complex sets of information. This paper introduces...
Burkhard Wünsche