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We describe a system for autonomous depth perception for surveillance in real world environments. With the ever-increasing need for surveillance, human operators are facing a challenging task to track suspicious behavior while looking at a large number of videos in real-time. We present an autonomous suspicious object detection method using depth information obtained from the Microsoft Kinect sensor...
In this paper, we design and implement an effective framework for interaction simulation based on real shadows and virtual shadows. Within the specified depth range, we firstly identify different physical objects with the method of HSV. And then in order to get the position of interaction tool, we use central moment to find the centroid of the physical object. In addition, the gesture recognition...
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