DocumentCode :
3346714
Title :
Video Background Extraction Based on Improved Mode Algorithm
Author :
Li Meijin ; Zhu Ying ; Huang Jiandeng
Author_Institution :
Coll. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
331
Lastpage :
334
Abstract :
Background extraction is a fast and efficient moving object segmentation algorithm. This paper presents a new background extraction algorithm based on improved mode algorithm by using frame differential method to obtain the regions of static background. Then, this series of frames containing no moving foreground objects are counted by mode algorithm, thus improving the accuracy of the background extraction. Evaluation of the background extraction is also made by background approach coefficient (BAC) which is presented in this paper. The experimental results show that the proposed method is fast in speed and accurate in background abstract.
Keywords :
feature extraction; image segmentation; video signal processing; background approach coefficient; frame differential method; improved mode algorithm; object segmentation algorithm; video background extraction; Data mining; Educational institutions; Genetic algorithms; Image sequences; Intelligent transportation systems; Object detection; Object segmentation; Pixel; Real time systems; Videoconference; background extraction; background subtraction; frame difference method; mode algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.51
Filename :
5402880
Link To Document :
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