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