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Recognition of suspicious behavior using case-based reasoning

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A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning. The new approach was proposed to decompose behavior into sub-behaviors that are easier to recognize using a saliency-based visual attention model. New representation of behavior was introduced, in which the sub-behavior and the associated time characteristic of sub-behavior were used to represent behavior case. In the process of case-based reasoning, apart from considering the similarity of basic sub-behaviors, order factor was proposed to measure the similarity of a time order among the sub-behaviors and span factor was used to measure the similarity of duration time of each sub-behavior, which makes the similarity calculations more rational and comprehensive. Experimental results show the effectiveness of the proposed method in comparison with other related works and can run in real-time for the recognition of suspicious behaviors.

visual attention modecase-based reasoningsuspicious behaviororder factorspan factor

夏利民、杨宝娟、涂宏斌

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Project supported by the National Natural Science Foundation of ChinaProject supported by the Science and Technology Project of Hunan Province, China

508080252013GK3012

2015

10.1007/s11771-015-2515-9

中南大学学报(英文版)
中南大学

中南大学学报(英文版)

CSCDSCIEI
影响因子：0.47
ISSN：2095-2899
年,卷(期)：2015.(1)
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