Application of MPI for Efficient Detection and Extraction of Features in Video Surveillance
نویسندگان
چکیده
Recent past has witnessed rapid growth on the usage of CCTV and video camera to beep up security in almost all aspects of life. This has resulted in tremendous growth of video content and its processing time. One of the challenges faced in this area is fast and efficient processing of these huge contents of video images. Therefore, integrating the principles of parallelism with the processing of the video images techniques has almost become mandatory for extraction of the desired information and achieving better performance. In this paper, a parallel algorithm has been proposed for extraction of person features from video frames that can execute on a cluster of workstations. The person behaviors are classified using Minimum distance classifier by the extracted feature vector. The algorithm has been implemented using MPI to estimate the time complexity and efficiency.
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تاریخ انتشار 2011