Title :
A Modified GVF Snake Algorithm of Mobile Target Detection
Author_Institution :
Dept. of Weapon Eng., Naval Univ. of Eng., Wuhan, China
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;
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
DOI :
10.1109/CISE.2009.5367177
