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http://dx.doi.org/10.7465/jkdi.2016.27.1.1

Study on abnormal behavior prediction models using flexible multi-level regression  

Jung, Yu Jin (Department of Multimedia Science, Sookmyung Women's University)
Yoon, Yong Ik (Department of Multimedia Science, Sookmyung Women's University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.1, 2016 , pp. 1-8 More about this Journal
Abstract
In the recently, violent crime and accidental crime has been generated continuously. Consequently, people anxiety has been heightened. The Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the post-processing to apply to the evidence. In this paper, we propose a flexible multi-level models for estimating whether dangerous behavior and the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. Thereby, tracking the behavior of objects in a multi-region, it can be seen that the risk of the object behavior. It can be predicted by the behavior prediction of crime.
Keywords
Abnormal behavior; analysis; association; behavior prediction; probability model; situation awareness;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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