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Research of abnormal behavior detection syetem based in adaptive background subtrsction
An Qiuyan 1,Li Xinchun 2 *
1.Liaoning Technical University, Electrical and Computer Engineering, LiaoNing HuLuDao 125105
2.Liaoning Technical University, Electrical and Computer Engineering, 125105
*Correspondence author
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Funding: none
Opened online:23 November 2012
Accepted by: none
Citation: An Qiuyan,Li Xinchun.Research of abnormal behavior detection syetem based in adaptive background subtrsction[OL]. [23 November 2012] http://en.paper.edu.cn/en_releasepaper/content/4492486
 
 
Aimd at the residential district intelligent monitoring low accuracy rate, bad efficiency and the strong dependence, we put forward a DSP based adaptive background subtraction method, according to slope threshold matching algorithm to determine whether human movement has abnormal behavior. Using the high performance DSP (digital signal processor) as the core of the system processor, improve the computational speed. The results shows that this method is easy to realize, and has good robustness and real-time performance, can be used as a real-time monitoring system of abnormal behavior detection method.
Keywords:DSP; Threshold matching; Adaptive phase background subtraction; Abnormal behavior detection
 
 
 

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