• EFFICIENT ARTIFACT-FREE VIDEO SYNOPSIS FOR TARGET DETECTION AND TRACKING

      Guo, Jing-Ming; Chang, Cheng-Hsin; Lee, Hua; Radzicki, Vincent; Department of Electrical Engineering, National Taiwan University of Science and Technology; Department of Electrical and Computer Engineering University of California, Santa Barbara (International Foundation for Telemetering, 2017-10)
      Target detection and tracking is one of the most common applications of video systems. The requirement of processing time due to the computation complexity has been the most challenging element for these operations. To achieve computation efficiency, video synopsis is one of the most promising approaches. Video synopsis is a technique that focuses on the removal or reduction of spatial and temporal redundancies, while maintaining important activities in the original video. In this paper, a new video synopsis scheme is introduced. Major characteristics of this technique include efficient background subtraction, superior processing speed, and effective object comparison.