Journal of Korea Spatial Information System Society (한국공간정보시스템학회 논문지)

Korea Spatial Information System Society (대한공간정보학회)
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A Flow Analysis Framework for Traffic Video

  • Bai, Lu-Shuang (Sino-Korea GIS Research Center, Chongqing University of Posts and Telecommunications) ;
  • Xia, Ying (Sino-Korea GIS Research Center, Chongqing University of Posts and Telecommunications) ;
  • Lee, Sang-Chul (Department of Computer and Information Engineering, Inha University)
  • Published : 2009.06.30
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Abstract

The fast progress on multimedia data acquisition technologies has enabled collecting vast amount of videos in real time. Although the amount of information gathered from these videos could be high in terms of quantity and quality, the use of the collected data is very limited typically by human-centric monitoring systems. In this paper, we propose a framework for analyzing long traffic video using series of content-based analyses tools. Our framework suggests a method to integrate theses analyses tools to extract highly informative features specific to a traffic video analysis. Our analytical framework provides (1) re-sampling tools for efficient and precise analysis, (2) foreground extraction methods for unbiased traffic flow analysis, (3) frame property analyses tools using variety of frame characteristics including brightness, entropy, Harris corners, and variance of traffic flow, and (4) a visualization tool that summarizes the entire video sequence and automatically highlight a collection of frames based on some metrics defined by semi-automated or fully automated techniques. Based on the proposed framework, we developed an automated traffic flow analysis system, and in our experiments, we show results from two example traffic videos taken from different monitoring angles.

Keywords

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