Paper Title:
Correlogram-Based Perceptual Similarity in Vehicle Probabilistic Tracking
  Abstract

This paper addresses the problem of dissimilarity measurement and incorporates an auto-correlogram operator into probabilistic tracking. Perceptual similarity measurement based upon color correlogram is proposed to weigh the candidates and obtain the expectation state vector of tracked vehicles. The object color is represented in perceptually better-organized HSV color space, which produced improvement over the original method that used in the RGB color space. Properly quantized HSV color space improved the efficiency of auto-correlogram computation and robustness to changes in color content and variations in illumination. Experimental results demonstrate that the efficiency of HSV color correlogram in weighing samples is better than that of RGB auto-correlogram and HSV color histogram in traffic scene applications.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
3860-3864
DOI
10.4028/www.scientific.net/AMM.121-126.3860
Citation
Y. F. Mao, M. Chen, "Correlogram-Based Perceptual Similarity in Vehicle Probabilistic Tracking", Applied Mechanics and Materials, Vols. 121-126, pp. 3860-3864, 2012
Online since
October 2011
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Price
$32.00
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