A Novel View of Color-Based Visual Tracker Using Principal Component Analysis
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概要
- 論文の詳細を見る
An extension of the traditional color-based visual tracker, i.e., the continuously adaptive mean shift tracker, is given for improving the convenience and generality of the color-based tracker. This is achieved by introducing a probability density function for pixels based on the hue histogram of object. As its merits, the direction and size of the tracked object are easily derived by the principle component analysis (PCA), and its extension to three-dimensional case becomes straightforward.
- 社団法人 電子情報通信学会の論文
- 2008-12-01
著者
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Lu Xin
Department Of Chemistry Wuhan University
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Lu Xin
Department Of Computer And Information Sciences Faculty Of Engineering Iwate University
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Nishiyama Kiyoshi
Department Computer And Information Science Iwate University
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