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Please use this identifier to cite or link to this item: http://hdl.handle.net/10928/180

Title: スケール変化に対応した人物動作判別
Other Titles: Scale Invariants Identification Scheme of Human Behavior
Authors: 石井, 健幸
村上, 仁己
小池, 淳
ISHII, Takeyuki
MURAKAMI, Hitomi
KOIKE, Atsushi
Keywords: pattern recognization
abnormal detection
CHLAC (Cubic Higher order local auto correlation)
Issue Date: 1-Jun-2012
Publisher: 成蹊大学理工学部
Abstract: This paper proposes a scale invariant identification scheme of human behavior, so that distinguishing abnormal behavior to normal behavior. This scheme makes use of CHLAC(Cubic Higher order local auto correlation), which was proposed by Otsu[5], as the feature quantities to describe moving behavior of human. In order to cope with change of human body scale in input moving images, our proposed scheme adopts an average processing for scale variation of human in feature quantities calculation. Computer simulation using moving images of human is performed with the proposed scheme. The experimental results showed that the proposed scheme has a better performance than these conventional schemes in detection of abnormal human behaviors.
URI: http://hdl.handle.net/10928/180
Appears in Collections:第49巻第1号

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