文章基本信息

标题：Application of MPI for Efficient Detection and Extraction of Features in Video Surveillance
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作者：Debmalya Sinha ; Gautam Sanyal
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：5
页码：1269-1274
出版社：Technopark Publications
摘要：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 implementedusing MPI to estimate the time complexity and efficiency
关键词：MPI; Feature extraction; video processing; classification and repeated position.