DocumentCode :
534989
Title :
Correlation tracking algorithm based on adaptive template update
Author :
Pan, Zhuojin ; Wang, Xiujuan
Author_Institution :
Sch. of Comput. Sci., Shenyang Aerosp. Univ., Shenyang, China
Volume :
1
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
98
Lastpage :
101
Abstract :
Aiming at the common problem of target changing and partial occlusion in the process of infrared dynamic tracking, a weighted function based on the distance of each pixel to the template center is put forward. And the traditional mean absolute difference (MAD) algorithm is improved to solve the interference. For template update we introduce an adaptive template update strategy which can adaptively correct template through the analysis of current frame matching coefficient and the gray scale information of the template edge. The experimental results show that our algorithm not only maintains the low computational complexity of MAD algorithm but also has higher stability and accuracy during continuous tracking.
Keywords :
optical tracking; tracking; adaptive template update; correlation tracking algorithm; current frame matching coefficient; infrared dynamic tracking; weighted function; Algorithm design and analysis; Correlation; Heuristic algorithms; Pixel; Real time systems; Signal processing algorithms; Target tracking; MAD algorithm; adaptive template; correlation tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5646309
Filename :
5646309
Link To Document :
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