DocumentCode :
3660266
Title :
Region-based moving object detection using HU moments
Author :
Yinglong Shen;Peipei Liu;Fushi Yao;Yunyi Liu
Author_Institution :
School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
fYear :
2015
Firstpage :
1590
Lastpage :
1593
Abstract :
In this paper, a region-based moving object detection based on hu moments is concerned. Firstly, the feasibility analysis of hu moments in moving object detection is performed. Then a model of hu moments in moving object detection is presented and the performances are evaluated. The experiment results show that the hu moments can eliminate the large amount of noise caused by traditional Single Gaussian Model, and the hu moments with Single Gaussian Model work better than Gaussian Mixture Model.
Keywords :
"Object detection","Computational modeling","Adaptation models","Noise","Pattern recognition","Image color analysis","Conferences"
Publisher :
ieee
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICInfA.2015.7279539
Filename :
7279539
Link To Document :
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