DocumentCode :
113839
Title :
Infrared moving target tracking algorithm with background perception capability
Author :
Liu Shijian ; Yang Long ; Wu Yingyue
Author_Institution :
Inst. of Tech. Phys., Shanghai, China
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
15
Lastpage :
18
Abstract :
Infrared moving target tracking algorithm in complex background prone target loss problems, proposed to add background perception module and target feature matching function in tracking algorithm, real-time analysis of the surroundings of the target. Strict constraints target infrared feature matching function when found that the background will be changed, if the target is interference, and outputs the target predicted position until the target flight out of the area. The improved algorithm is substantially independent of the target size, rotation change and improves the stability and reliability of the tracking algorithm. The experimental results show that the improved algorithm to overcome easily lost in the traditional algorithm to track the target and stable tracking in a complex background.
Keywords :
image matching; infrared imaging; optical tracking; visual perception; background perception capability; background perception module; complex background; infrared feature matching function; infrared moving target tracking algorithm; target feature matching function; target is interference; Algorithm design and analysis; Classification algorithms; Interference; Prediction algorithms; Real-time systems; Target tracking; Background perception; moving target; tracking algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICIST.2014.6920321
Filename :
6920321
Link To Document :
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