DocumentCode :
633931
Title :
An improved moving objects detection algorithm
Author :
Liu Gang ; Ning Shangkun ; You Yugan ; Wen Guanglei ; Zheng Siguo
Author_Institution :
Autom. Eng. Inst., Shanghai Univ. of Electr. Power, Shanghai, China
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
96
Lastpage :
102
Abstract :
Moving target detection is an important part of video target tracking. Good moving target detection makes video track more effective. This paper proposes a new algorithm based on the traditional three-frame differential method comparison. The shortage of traditional three-frame differential method is pointed out. Combined with Canny edge detection algorithm, the improved three frame differential algorithm makes moving target detected containing more complete information. This new algorithm takes advantage of good performances of three-frame-difference method and background subtraction method adequately. The proposed method is simple and experimental results show that it can accurately detect moving targets.
Keywords :
edge detection; image motion analysis; image sequences; object detection; video signal processing; Canny edge detection algorithm; moving object detection algorithm; moving target detection; three-frame differential method; video target tracking; Abstracts; Companies; Tracking; Canny edge detection; Moving object detection; Three-frame differential;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2013 International Conference on
Conference_Location :
Tianjin
ISSN :
2158-5695
Print_ISBN :
978-1-4799-0415-0
Type :
conf
DOI :
10.1109/ICWAPR.2013.6599299
Filename :
6599299
Link To Document :
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