Paper Title:
Particle-Filter Tracking of Motion Vector to Locate Objects and Pattern Matching over Particles Based on Mpeg2
  Abstract

During process of objects tracking, problem of tracking box about marked objects is a major problem. Moreover, tracking of multi-objects are also difficult problems of objects tracking. This paper can tag object automatically through using motion vector of Mpeg2 to mark activities object of static video. Then, we extract multi-dimensional characteristics from initial goal of motion vector determined and made model. And accurately identify particles of larger weight to achieve purpose of accurately tracking objects through process of original value of particle filter matching observed value. As adopted methods of pattern classifying, so made feature matching between new particle and original particle are more accurate. The experiments show that the algorithm had good tracking performance and strong robustness.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Chapter
Chapter 2: Computer Application,Communication and Control
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
350-355
DOI
10.4028/www.scientific.net/AMR.225-226.350
Citation
L. B. Li, Y. Ma, Y. Y. Liang, "Particle-Filter Tracking of Motion Vector to Locate Objects and Pattern Matching over Particles Based on Mpeg2", Advanced Materials Research, Vols. 225-226, pp. 350-355, 2011
Online since
April 2011
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Price
$35.00
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