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    A Survey on Human Activity Analysis Techniques

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    Human Activity Recognition(HAR) is Popular research topic in Computer vision and Image Processing area. This Paper Provide an exhaustive survey on the Entire Process of identify or Recognize Human activity. Basically, There are Four steps are involved in HAR process, which are Pre-processing, Feature extraction, Training, and Classification of different activities from video. The need of data preprocessing , and segmentation based on camera movements are presented. This paper provide detailed survey on different features for HAR, feature extraction and selection method , and Classification methods with advantages and disadvantages. Finally, A brief discussion about various classification techniques are presented
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