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Prediction method for suspicious behavior based on omni-view model

Authors
Choi, Ji-HyenChoe, Jong-WonYoon, Yong-Ik
Issue Date
Jan-2017
Publisher
Springer Verlag
Keywords
Behavior pattern; CCTV; Omni-view; Predicting crime
Citation
Lecture Notes in Electrical Engineering, v.421, pp 607 - 612
Pages
6
Journal Title
Lecture Notes in Electrical Engineering
Volume
421
Start Page
607
End Page
612
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/3140
DOI
10.1007/978-981-10-3023-9_93
ISSN
1876-1100
Abstract
Recently, CCTV is being applied to prevent crimes. It senses the level of danger as being searching criminal records, a wanted one’s montage and so on through mainly Facial recognition. However, it needs additional judging to provide against emergencies, because it cannot predict every criminal situation. In the cause of it, a computer is being fed three-dimensional coordinates from CCTV into a device, and catches not only motion of body or arms but also pattern of hand that were grasped by ConvexHull. And then it predicts suspicious behaviors via judging the movements of an object. Furthermore, to add information about surroundings and location, preventing crimes with more exact judging is the aim on this research. © Springer Nature Singapore Pte Ltd. 2017.
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