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The Detection Discrimination and Processing of the Object Picture in Site Monitoring System

Author: LiuXiaoLiang
Tutor: ZhuHong;XingXiaoQi
School: Xi'an University of Technology
Course: Computer technology
Keywords: Target detection Video surveillance Background subtraction Analysis of irregularities
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 16
Quote: 0
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Abstract


Safe production is the basis of the enterprises to ensure the efficiency, effectiveness , and social stability and the protection of people live and work . Sustained and stable development of the oil companies , but also depends on the application of the promotion of safe and advanced practical technologies . Especially in today's information society , with the rapid development of networking, communications and microelectronics technology and the improvement of living standards of the people's material . The unprecedented social awareness to enhance their own security enhancements dangerous source of potential accidents multi-level monitoring mode to get widespread attention . In this paper, the relevant safety and production need to achieve automatic analysis of the monitoring system detected the target person 's behavior . First, the background subtraction method to extract the moving object in the video . In order to reduce the chance of mistakenly extracted and leakage extracted background updating method based on background modeling . After median filtering and morphological filtering combined to obtain the correct target area , target extraction . In addition , this article discriminant method using color features the behavior automatically determine whether the target person wearing the overalls of the unit . This article is designed as overalls candidate region and the target area ratio characteristics, to determine whether there is sufficient overalls area . Before entering the work area , whether touch electrostatic discharge column behavior , this article through the first partial occlusion touch electrostatic discharge column judgment to determine whether the hands touch the touch head . For workers within the staff whether the violation behavior of a cell phone , when you answer the phone based on the current , you must hold the phone close to the head is characterized by skin color detection , detection of all skin regions on the target , and after for each the shape and size of skin color region analysis to determine whether the act . Collected on-site video processing experiments show that the design can be achieved automatically monitor the behavior of the target person .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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