Abstract
In recent days, vision based surveillance in public spaces has dramatically increased due to its wide applications such as traffic system management, terrorism/crime deterrence, and crowded activity monitoring and so on. These surveillance videos often contain a large amount of frames. Taking an example of a frame of 25fps, there are 250*3600=90,000 frames in total for one hour of video. The huge volume of video data is a barrier to many practical usages. So, work on key frame extraction going on to extract key frames from videos which give an overall summarization of a video.
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