DocumentCode
2293372
Title
An Improved Mixture Gaussian Models to Detect Moving Object Under Real-Time Complex Background
Author
Ju, Shiguang ; Chen, Xiaojun ; Xu, Guanghua
Author_Institution
Coll. of Comput. Sci. & Commun. Eng., JiangSu Univ., Zhenjiang
fYear
2008
fDate
22-24 Sept. 2008
Firstpage
730
Lastpage
734
Abstract
With video inspecting applied, many research efforts have focused on subtracting the moving object. In this paper, we propose an improved Mixture Gaussian Model to subtract the real-time complex background. The experimental results have testified the proposed method can greatly extract the background model from the actual scene through the real-time monitor, extract the moving vessels automatically, filtrate the video abnormal incidents occurred, and achieve the monitoring the dock at no duty of intelligent monitoring.
Keywords
Gaussian processes; computer vision; object detection; video surveillance; dock monitoring; intelligent monitoring; mixture Gaussian model; moving object detection; moving vessels; real-time complex background model; real-time monitor; video abnormal incidents; video inspection; Computerized monitoring; Database systems; Digital cameras; Hardware; Inspection; Layout; Local area networks; Network servers; Object detection; Rivers; Computer vision; background subtraction; mixture Gaussian model; moving object detection; video inspecting system;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyberworlds, 2008 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-3381-0
Type
conf
DOI
10.1109/CW.2008.117
Filename
4741387
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