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ICIG
2009
IEEE
14 years 7 months ago
Illumination Invariant Object Tracking with Incremental Subspace Learning
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
Gang Yu, Hongtao Lu
ICASSP
2011
IEEE
14 years 1 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
PAMI
2002
150views more  PAMI 2002»
14 years 9 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
MVA
2008
125views Computer Vision» more  MVA 2008»
14 years 9 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...
WINET
2010
88views more  WINET 2010»
14 years 8 months ago
Tree-based object tracking without mobility statistics in wireless sensor networks
Object tracking in wireless sensor networks is to track mobile objects by scattered sensors. These sensors are typically organized into a tree to deliver report messages upon dete...
Li-Hsing Yen, Bang Ye Wu, Chia-Cheng Yang