Paper Title:
Vehicle Segmentation Approach Based on the Space-Time and Self-Similarity of Background
  Abstract

Vehicle segmentation is the key of the traffic video image analysis, the movement state of vehicles can be understudied to get traffic flow parameters. Based on the traffic scene characterized by gradual change, the paper present the background model reconstruction with time-space and self-similarity of background. Video frame image is differenced from background, and binary to get the vehicle template. According to the template, movement vehicle will be segmented from it, the results of the experiment confirmed the effectiveness of algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 179-180)
Edited by
Garry Zhu
Pages
115-121
DOI
10.4028/www.scientific.net/AMR.179-180.115
Citation
Z. Qin, G. T. Su, D. H. Li, Y. Mei, Y. W. He, Q. S. Chen, "Vehicle Segmentation Approach Based on the Space-Time and Self-Similarity of Background", Advanced Materials Research, Vols. 179-180, pp. 115-121, 2011
Online since
January 2011
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Price
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