DocumentCode :
3094229
Title :
A Robust Approach for Anti-jamming Target Tracking in Forward Looking Infrared Imagery
Author :
Su, Guanhua ; Ma, Huimin ; Hou, Yu
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2011
fDate :
12-15 Aug. 2011
Firstpage :
636
Lastpage :
641
Abstract :
In this paper, we present a new robust approach of target tracking in infrared imagery based on Mean Shift tracking and clustering algorithm. Our approach works robustly on jammed images, which is usually under extreme situation. We first define the Jammed forward looking by 4 Features, and proposed tracking algorithm based on them. The proposed tracking algorithm mainly references Camshift, yet has many unique features. First, a quick mean shift clustering algorithm for one-dimension data is applied to shorten the time cost. Second, we introduce the idea of double possibility distribution image to get accurate position and size of target. Third, we discard the kernel function to avoid the influence of interference. Results show that the proposed tracking approach works smoothly despite of several harmful factors which other approaches fail to overcome.
Keywords :
image sequences; infrared imaging; jamming; target tracking; Camshift; antijamming target tracking; double-possibility distribution image; forward looking infrared imagery; image sequences; jammed images; mean shift tracking algorithm; one-dimension data; quick mean shift clustering algorithm; robust approach; Clustering algorithms; Histograms; Image color analysis; Jamming; Robustness; Signal to noise ratio; Target tracking; Double Back Projection; Jamming; adaptive window; infrared tracking; mean shift clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
Type :
conf
DOI :
10.1109/ICIG.2011.143
Filename :
6005603
Link To Document :
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