Paper Title:
Multi-Objective Forecast Track Based on Kalman-Camshift Algorithm
  Abstract

In carries on the multi-objective movement track, because often the goal covers, factors and so on merge, separation to cause the track defeat. Proposed with the dynamic background modeling technology and the RGB three channel chromatic aberration law gain target complex group, then uses the Kalman filter forecast movement goal initial parameter, uses the improvement the Camshift algorithm to iterate gradually again approaches each goal exact location, has realized to the multi-objective auto-adapted tracks. The massive experiments indicated that this algorithm robustness is good, auto-adapted ability.

  Info
Periodical
Advanced Materials Research (Volumes 211-212)
Edited by
Ran Chen
Pages
137-141
DOI
10.4028/www.scientific.net/AMR.211-212.137
Citation
J. B. Qu, C. R. Qu, S. J. Wang, "Multi-Objective Forecast Track Based on Kalman-Camshift Algorithm", Advanced Materials Research, Vols. 211-212, pp. 137-141, 2011
Online since
February 2011
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Price
$32.00
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