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Family surveillance video

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  • This thesis proposes a new method to determine moving objects by applying some motion estimation techniques in the video compression domain. At the same time, this method will also be used to build an application that supports the identification and search of motion in home surveillance videos. The compression format of the videos in the thesis uses H264 compression (MPEG-4 part10), a popular video compression standard today.

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