Weak Targets Box Particle Labeled Multi-bernoulli Multi-target Detection and Tracking Algorithm
Received:August 03, 2018  Revised:October 15, 2018  download
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Author NameAffiliationE-mail
CAI Ru-Hua Mathematics and computer science college of GuiLin University of Electronic Technology 934019492@qq.com 
YANG Biao Mathematics and computer science college of GuiLin University of Electronic Technology 13677736552@163.com 
WU Sun-Yong Mathematics and computer science college of GuiLin University of Electronic Technology wusunyong121991@163.com 
LI Tong Mathematics and computer science college of GuiLin University of Electronic Technology  
SUN Xi-Yan Guangxi Key Laboratory of Precision Navigation Technology and Application  
Abstract:For the problem of tracking infrared weak targets, a box particle labeled multi-bernoulli multi-target detection and tracking algorithm is proposed. To begin with, the algorithm using the mean filter to denoise the grayscale image, Then, the region with higher intensity is selected as the interval measurement at current time by sorting the intensity of all the pixels, Finally, the box particle labeled multi-bernoulli filter is applied to tracking. Simulation are presented to demonstrate that the BOX-LMB-DT algorithm has stable, effective performance. In the same conditions, compared with the LMB particle filter under interval measurement, the operation efficiency of the BOX-LMB filtering is improved by 22.59% when the same tracking performance is achieved.
keywords:Muti-Target  Tracking, Infrared  Image Measurement, Box  Particle Filter, Labeled  Multi-Bernoulli  Filter, Mean  Filter
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Copyright:《Journal of Infrared And Millimeter Waves》