DocumentCode :
2846169
Title :
Infrared Target Detection with Improved LBP Algorithm
Author :
Han, Fuli ; Yang, Jinhua ; Zhao, Qun ; Lu, Shan
Author_Institution :
Sch. of Optoelectron. Eng., Changchun Univ. of Sci. & Technol., Changchun, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Targets detection methods of infrared image sequences are studied in this paper. Based on analysis of the traditional LBP algorithm, an improved LBP algorithm, called ¿-LBP algorithm is proposed. This algorithm, which makes full use of the translational invariability and the rotational invariability of the LBP operator, is able to detect the edge of targets fast even under complicated backgrounds, in favor of targets recognizing and tracing. Comparing with several other kinds of traditional algorithms, this method improves the veracity and has fast responsivity.
Keywords :
image sequences; infrared imaging; object detection; LBP rotational invariability; LBP translational invariability; infrared image sequences; infrared target detection; local binary pattern algorithm; Face; Gray-scale; Humans; Image edge detection; Image sequences; Infrared detectors; Infrared imaging; Object detection; Pixel; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5365088
Filename :
5365088
Link To Document :
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