Accurate Human Detection by Appearance and Motion

• TANG Shaopeng

  Graduate School of IPS, Waseda University

• GOTO Satoshi

  Graduate School of IPS, Waseda University

抄録

In this paper, a human detection method is developed. An appearance based detector and a motion based detector are proposed respectively. A multi scale block histogram of template feature (MB-HOT) is used to detect human by the appearance. It integrates the gray value information and the gradient value information, and represents the relationship of three blocks. Experiment on INRIA dataset shows that this feature is more discriminative than other features, such as histogram of orientation gradient (HOG). A motion based feature is also proposed to capture the relative motion of human body. This feature is calculated in optical flow domain and experimental result in our dataset shows that this feature outperforms other motion based features. The detection responses obtained by two features are combined to reduce the false detection. Graphic process unit (GPU) based implementation is proposed to accelerate the calculation of two features, and make it suitable for real time applications.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E93-D (10), 2728-2736, 2010

  一般社団法人 電子情報通信学会

キーワード

• human detection
• multi scale block histogram of template
• Graphics process unit

詳細情報

• CRID: 1390001204379519488
• NII論文ID: 10027641095
• NII書誌ID: AA10826272
• DOI: 10.1587/transinf.e93.d.2728
• ISSN: 17451361
• ISSN: 09168532
• Web Site: http://www.jstage.jst.go.jp/article/transinf/E93.D/10/E93.D_10_2728/_pdf
• 本文言語コード: en
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