Recognition of suspicious behavior using case-based reasoning

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• 作者：Li-min Xia ; Bao-juan Yang ; Hong-bin Tu
• 关键词：visual attention mode ; case ; based reasoning ; suspicious behavior ; order factor ; span factor
• 刊名：Journal of Central South University of Technology
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：22
• 期：1
• 页码：241-250
• 全文大小：1,678 KB
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• 作者单位：Li-min Xia (1)
  Bao-juan Yang (1)
  Hong-bin Tu (1)
  
  1. School of Information Science and Engineering, Central South University, Changsha, 410075, China
  
• 刊物类别：Engineering
• 刊物主题：Engineering, general
  Metallic Materials
  Chinese Library of Science
  
• 出版者：Central South University, co-published with Springer
• ISSN：2227-5223

文摘

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.