DocumentCode :
3075573
Title :
Moving Object Detection Based on the Cellular Automata
Author :
Cui, Yuyong ; Zeng, Zhiyuan ; Zhang, Sizhe
Author_Institution :
Digital Eng. & Simulation Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
2
fYear :
2009
fDate :
10-11 July 2009
Firstpage :
407
Lastpage :
409
Abstract :
A moving object detection method based on the cellular automata is presented in this paper. The method set the initial condition based on the Frame subtract, then use the current frame grayscale value of the image to define the Moore neighborhood and a simple transform rule of cellular automata. At last, an experiment is given and it shows the method is relatively effective and has advantages in detecting the moving object.
Keywords :
cellular automata; image colour analysis; image motion analysis; object detection; Moore neighborhood; cellular automata; frame grayscale value; frame subtract; moving object detection; Automata; Gray-scale; Image edge detection; Image processing; Object detection; Pipelines; Pixel; Reliability; Smoothing methods; Space technology; background subtract.; cellular automata; moving object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Chanxi
Print_ISBN :
978-0-7695-3679-8
Type :
conf
DOI :
10.1109/ICIE.2009.70
Filename :
5211377
Link To Document :
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