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Prediction Method for Suspicious Behavior Based on Omni-View Model

机译:基于Omni-View模型的可疑行为预测方法

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摘要

Recendy, 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.
机译:作为补充,央视正在被用来预防犯罪。它主要通过面部识别来搜索犯罪记录,通缉的蒙太奇等时感觉到危险的程度。但是,由于它无法预测每种犯罪情况,因此需要进行额外的判断以应对紧急情况。因此,计算机将来自CCTV的三维坐标输入到设备中,不仅捕获身体或手臂的运动,而且捕获ConvexHull抓住的手的模式。然后通过判断物体的运动来预测可疑行为。此外,本研究的目的是要添加有关周围环境和位置的信息,以更准确的判断来预防犯罪。

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