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