A Modified GVF Snake Algorithm of Mobile Target Detection

Author

Zhou Hao

Author_Institution

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

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

The current methods of mobile target detection of video sequences have shortcomings such as poor disturbance-resistance and robustness. To solve this problem, a 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; motion estimation; object detection; video signal processing; GVF Snake algorithm; frame motion information; gradient vector field; grey-level information; image gradient information; mobile target detection; video sequences; Force control; Image converters; Iterative algorithms; Motion estimation; Object detection; Parameter estimation; Pixel; Robustness; Signal processing algorithms; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5367177

Filename

5367177