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- NISHINA Y
- Faculty of Engineering, Kyushu Institute of Technology
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- AHAD Md.Atiqur Rahman
- Faculty of Engineering, Kyushu Institute of Technology
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- TAN J.K.
- Faculty of Engineering, Kyushu Institute of Technology
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- KIM H.S.
- Faculty of Engineering, Kyushu Institute of Technology
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- ISHIKAWA S
- Faculty of Engineering, Kyushu Institute of Technology
抄録
Human or face tracking in a diverse environment is very important for various applications in computer vision, especially for video surveillance. Usually, a color cue offers many advantages over motion or geometric information which cannot robustly handle partial occlusion, rotation, scale and resolution changes. In this paper, we present a robust face tracking system by employing a color-based particle filter. The face detection technique is realized based on a Haar-like features algorithm. Here we exploit skin color cues for face-tracking, and it also proposes a body-part particle distribution system. This system is robust against occlusion by human or others and it can perform the tracking in real-time. We conducted experiments in both indoor and outdoor environments, with either a single or multiple persons in a view. Based on the color-based and body-part particle filter, we tracked a person's face satisfactorily by a developed simple robot system.
収録刊行物
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- International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association
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International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association 16 (1), 127-134, 2011
バイオメディカル・ファジィ・システム学会
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詳細情報 詳細情報について
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- CRID
- 1390001206078140160
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- NII論文ID
- 110009717803
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- ISSN
- 2424256X
- 21852421
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- HANDLE
- 10228/00006234
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可