DocumentCode :
525202
Title :
Video object segmentation algorithm based on background reconstruction
Author :
Chu Guang-li ; Zhang Wei
Author_Institution :
Baicheng Normal Univ., Baicheng, China
Volume :
1
fYear :
2010
fDate :
25-27 June 2010
Abstract :
Two mistakes in change detection were overcome, namely detecting the revealed background to be the moving object or the large area with similar gray level in the same moving object to be background. The algorithm reconstructed the complete background image by accumulating inter-frame information to get the accurate segmentation result. Experiments show that this algorithm has robustness and can be applied to different kinds of sequences.
Keywords :
image reconstruction; image segmentation; image sequences; object detection; background reconstruction; change detection; image sequences; interframe information accumulation; moving object detection; video object segmentation algorithm; Algorithm design and analysis; Change detection algorithms; Computer errors; Computer vision; Image reconstruction; Image segmentation; Object detection; Object segmentation; Video sequences; Videoconference; background reconstruction; inter-frame difference; video image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5540825
Filename :
5540825
Link To Document :
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