Highway Background Identification and Background Modeling Based on Projection Statistics

Jun Zhang
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Jun Zhang: Tianjin University, China

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2011, vol. 3, issue 4, 15-23

Abstract: Background images are identified by analyzing the changes in texture of the image sequences. According to the characteristics of highway traffic scenes, in this paper, the author presents a new algorithm for identifying background image based on the gradient projection statistics of the binary image. First, the images are blocked by road lane, and the background is identified by projection statistics and projection gradient statistics of the sub-images. Second, the background is reconstructed according to the results of each sub-image. Experimental results show that the proposed method exhibits high accuracy for background identification and modeling. In addition, the proposed method has a good anti-interference to the low intensity vehicles, and the processing time is less as well. The speed ??and accuracy of the proposed algorithm meets the needs of video surveillance system requirements for highway traffic scenes.

Date: 2011
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