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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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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:再次,CCTV正在申请防止犯罪。它感应了寻找犯罪记录的危险程度,一个想要的蒙太奇,依据主要是面部识别。但是,它需要额外的评判来提供针对紧急情况,因为它无法预测每个犯罪局势。在它的原因中,计算机正在将三维坐标从CCTV馈送到设备中,并且不仅捕获身体或臂的运动,而且捕获由凸出的手抓住的手动模式。然后它通过判断对象的动作来预测可疑行为。此外,为了添加有关周围环境和地点的信息,防止更确切判断的犯罪是该研究的目标。

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