Online HOG Method in Pedestrian Tracking
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概要
- 論文の詳細を見る
Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.
- （社）電子情報通信学会の論文
- 2010-05-01
著者
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LIU CHANG
Department of Chemical Engineering, Nanjing University of Technology
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Liu Chang
Department Of Electronic Engineering Tsinghua University
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WANG Guijin
Department of Electronic Engineering, Tsinghua University
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JIANG Fan
Department of Electronic Engineering, Tsinghua University
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LIN Xinggang
Department of Electronic Engineering, Tsinghua University
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Jiang Fan
Department Of Electronic Engineering Tsinghua University
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Wang Guijin
Department Of Electronics Engineering Tsinghua University
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Wang Guijin
Dept. Of Electronic Engineering Tsinghua University
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Lin Xinggang
Department Of Electronic Engineering Tsinghua University
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Liu Chang
Department Of Chemical Engineering Nanjing University Of Technology
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Wang Guijin
Department Of Electronic Engineering Tsinghua University
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