Prediction method for suspicious behavior based on omni-view model
  • Choi, Ji-Hyen
  • Choe, Jong-Won
  • Yoon, Yong-Ik
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초록

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.

키워드

Behavior patternCCTVOmni-viewPredicting crimeClosed circuit television systemsFace recognitionForecastingUbiquitous computingBehavior patternsBehavior-basedCriminal recordsFacial recognitionOmni-viewPredicting crimesPrediction methodsThree dimensional coordinateCrime
제목
Prediction method for suspicious behavior based on omni-view model
저자
Choi, Ji-HyenChoe, Jong-WonYoon, Yong-Ik
DOI
10.1007/978-981-10-3023-9_93
발행일
2017-01
유형
Book Chapter
저널명
Lecture Notes in Electrical Engineering
421
페이지
607 ~ 612