Abstract:A novel method to recognize human activities based on videos is proposed in this paper. These videos are captured by a camera mounted to a human body. We can estimate the activity from the changes of scenes in videos. In this paper, we use the improved diamond search block-matching method to calculate the motion vector. Then we extract key information from the motion vector filed, and design a feature descriptor to describe the motion in frames in a video which can distinguish different motions. After getting … Show more
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