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Research and Implementation on Key Technologies of Intelligent Surveillance System of Object Safty Detection

Author: WeiQing
Tutor: LiuZhiJing
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Intelligent monitoring Mean Shift Algorithm Particle filter Theft and abandoned object detection
CLC: TP277
Type: Master's thesis
Year: 2010
Downloads: 43
Quote: 0
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Abstract


Intelligent video monitoring technology is a cutting-edge visual computing and hot research topic in military and civil fields has important application value. Based on its application in safety items, the moving target tracking and stealing/abandoned objects detection two aspects has carried on the thorough research. (1) this paper proposes a Mean Shift and particle filter tracking algorithm, combining with the target template and similarity threshold between candidate template in the current frame as two kind of transformation conditions of the algorithm. The experimental results show that the method has strong robustness, and effectively meet the real-time performance of the intelligent monitoring system of tracking requirements. (2) this paper has realized under complex scene stealing and abandoned object detection and recognition. Improved gaussian mixture model is adopted to establish the background first, use a background deduction and time differential weighting method to extract the moving object in dynamic background; And then determine whether the target is "static object"; Again using active contour model, the precise contour of the target are extracted; Finally put forward a kind of based on edge detection algorithm combined with the data matching and color matching. The experimental results show that the methods for theft and abandoned object detection and recognition has high accuracy.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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