Abstract
Real time motion detection has very wide application in human motion recognition or vehicle motion recognition. Patient monitoring, human–computer interaction are the recent applications of the human motion recognition, and is recent application of vehicle motion recognition are vehicle counting and very helpful in traffic control by detecting vehicle as per size, color, speed. In video surveillance real time motion recognition is very difficult so I want to work on real time motion recognition. Based on above discussion in my research work I have decided to develop intelligent framework for Real time moti on detection or recognition for appropriate thing or object. Still real time image based or video based motion detection are hidden area so I want to carry out my work on real time video based detect behavior of human as per movement of object or vehicle detection in sense of hybrid. It will prove very helpful for public safety. This paper combines the GMM and Optical Flow object detection and tracking. In this paper we combine GMM and Optical Flow method. GMM can be used in the context of a complex environment while Optical Flow can be used for quick calculation with simple background. GMM is not a complete object tracking while Object Flow provides complete computation tracking.
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