Mobile target detection of intelligent surveillance system based on modified GVF

Author

Zhou, Jian-zhong ; Wang, Shu-zong

Author_Institution

Dept. of Weapon Eng., Naval Univ. of Eng. Wuhan, Wuhan, China

fYear

2009

fDate

25-28 July 2009

Firstpage

986

Lastpage

989

Abstract

The current methods of mobile target detection of video sequences have shortcomings such as poor disturbance-resistance and robustness. To solve this problem, an modified GVF Snake algorithm was presented, new gradient vector field was founded which took full advantage of image gradient information, between-frame motion information and grey-level information of neighbor pixels. Simulation result indicates that this modified method can detect mobile target of video sequences efficiently, and improve the disturbance-resistance ability and robustness.

Keywords

gradient methods; image motion analysis; image resolution; image sequences; military computing; object detection; video surveillance; between-frame motion information; disturbance-resistance ability; gradient vector field; grey-level information; image gradient information; intelligent surveillance system; military establishment; mobile target detection; modified GVF Snake algorithm; video sequences; Computer science education; Force control; Image converters; Intelligent systems; Motion estimation; Object detection; Robustness; Signal processing algorithms; Surveillance; Video sequences; Gradient vector flow; Snake algorithm; intelligent surveillance system; mobile target detection; video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education, 2009. ICCSE '09. 4th International Conference on

Conference_Location

Nanning

Print_ISBN

978-1-4244-3520-3

Electronic_ISBN

978-1-4244-3521-0

Type

conf

DOI

10.1109/ICCSE.2009.5228139

Filename

5228139