Paper Title:
PFCHA: A New Moving Object Tracking Algorithms Based on Particle Filter and Histogram
  Abstract

The complexity of the video background of moving target tracking algorithm led to the robustness of the important reasons is not high for the limitations of existing algorithms, a framework based on the movement of particle filter tracking algorithm. In order to reduce the impact of occlusion for the algorithm, the algorithm of moving objects make full use of color and motion characteristics of moving target detection, and to avoid the interference of the complex background, within the framework of particle filter in the object color histogram analysis. Finally, given an effective comparison of the calculation. Experimental results show that particle filter based target tracking algorithm can effectively remove the interference of the complex background, the context for any trace detection of high robustness.

  Info
Periodical
Chapter
Chapter 16: Modeling, Analysis, and Simulation of Manufacturing Processes II
Edited by
Wu Fan
Pages
3343-3350
DOI
10.4028/www.scientific.net/AMM.110-116.3343
Citation
Q. Yang, J. F. Jiang, "PFCHA: A New Moving Object Tracking Algorithms Based on Particle Filter and Histogram", Applied Mechanics and Materials, Vols. 110-116, pp. 3343-3350, 2012
Online since
October 2011
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Price
$32.00
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