DocumentCode :
2165734
Title :
Adaptive Motion Segmentation Based on Genetic Algorithm
Author :
Wang, Yan-Ni ; Fan, Yang-yu
Author_Institution :
Sch. of Inf. & Control Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
In order to rapidly and accurately determine the optimal threshold in video segmentation, an improved adaptive video motion segmentation method based on genetic algorithm is proposed. Through consummating the evolve mechanism, introducing adaptive initially individual, selection operator and adaptive judgments of termination, it can overcome the problems of poor astringency and premature occurrence in genetic algorithm. The experiment results show that the new segmentation method can greatly improve the speed of segmentation and can acquire good segmentation results.
Keywords :
data compression; genetic algorithms; image motion analysis; image segmentation; video coding; adaptive video motion segmentation method; genetic algorithm; optimal threshold; selection operator; video compression; video object; Adaptive control; Computer vision; Encoding; Genetic algorithms; Genetic mutations; Motion segmentation; Programmable control; Space technology; Video compression; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5304479
Filename :
5304479
Link To Document :
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