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Human action recognition system proposed here recognizes the behavior of a person in real-time. The system aims at communicating the recognized gestures with the camera system. The proposed system initiates on identifying the human action provided in the database and it sends the trigger signals to the camera system so as to record and store the video stream within the system. Template matching algorithm is used to recognize and identify actions from the captured video frame directly. The image which we are getting from the video is in turn compare with database and after that the output will obtain. As a last phase we are detecting the action also as well as sending an alert message also. Existing video processing system uses the Hadoop platform in order to perform the distributed computing. In our proposed model we use neural network classifier. It allows back to back propagation and provides better efficient and accurate outcomes.

Artificial Intelligence based Action Recoginition using Image Processing