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2006
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A Random Field Model for Improved Feature Extraction and Tracking

9 years 5 months ago
A Random Field Model for Improved Feature Extraction and Tracking
This paper presents a novel method for illuminationinvariant and contrast preserving feature extraction, aimed at improving performance of tracking under complex light condition. Features to be extracted are represented as a weight field. An energy function of the field is defined as an approximate variance in robust statistics. A simple nonlinear iterative rule is derived to compute the optimal field. The optimal field is shown to be invariant to global illumination switching, and preserving target/background contrast. We incorporate the feature extraction method into a mean-shift tracker and this achieves reliable results on realworld sequences in complex scenes and varying illumination.
Xiaotong Yuan, Stan Z. Li
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where AVSS
Authors Xiaotong Yuan, Stan Z. Li
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