DocumentCode :
468920
Title :
A robust moving object segmentation algorithm
Author :
Gao, Hongzhi ; Green, Richard
Author_Institution :
Univ. of Canterbury, Christchurch
Volume :
1
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
214
Lastpage :
217
Abstract :
This paper introduces reference frame subtraction double difference algorithm (RFSDDA). It performs segmentation of moving objects in real-time from images. This algorithm is based on a combination of both ordinary reference frame subtraction algorithm (RFSA) and double difference algorithm (DDA). The experiment results show that RFSDDA inherits advantages from both RFSA and DDA: it is more robust to background scene variations than RFSA and is more sensitive to slow moving objects than DDA.
Keywords :
image motion analysis; image segmentation; RFSDDA; background scene variations; reference frame subtraction double difference algorithm; robust moving object segmentation algorithm; Notice of Violation; Object segmentation; Pattern analysis; Pattern recognition; Robustness; Wavelet analysis; image motion analysis; image object detection; image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4420666
Filename :
4420666
Link To Document :
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