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Moving target detection in multi - screen intelligent monitoring system

Author: XieWenHua
Tutor: GaoWenHua
School: Taiyuan University of Science and Technology
Course: Circuits and Systems
Keywords: Multi-image intelligent video surveillance Motion detection Edge detection Value of dynamic threshold
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 95
Quote: 1
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Abstract


With the development of the video technology, video surveillance system is developing at the direction of intelligent, digital and IP. Multi-image intelligent video surveillance system goes gradually deep to all aspects of people’s life. It is far significant to protect people’s life peacefully and normally. Multi-image intelligent video surveillance system is much better than the traditional monitoring system at the aspect of automatic detecting and saving resources. It gradually becomes one of topics that attract a large number of scholars to research it at home and abroad.Multi-image intelligent video surveillance monitor typically comprises of segmentation of multiple image, motion detection, determination of the motion direction and motion tracking, and the most important is motion detection. Allow for some problems contained in intelligent monitoring monitor, we studied how to build the hardware platform to make multi-screen displayed in the same screen come true and how to detect the moving object accurately and so on.We analyses the status of the motion detection at home and abroad in the article, and introduce the usual algorithm of motion detection, point out the advantage and disadvantage of the usual algorithm of motion detection. We make a method of motion detection that merged technology of edge extraction. Good or bad of the algorithm of the edge detection will directly affects the final result of motion detection. At first, we extract the edge of the current frame image by using of method of dynamic threshold based on gradient direction information. And then we get the area of movement using usual frame difference and morphology operation. We make“&”operation between the edge of current frame image and the outcome getting from frame difference, and finally we get the contour of the motion object. It simulates and comes true the algorithm on the platform of MATLAB 7.1. The new algorithm operates simply and has low amount of computation using the simple algorithm of Sobel and algorithm of usual frame difference, and get a good test result.It points out the shortcomings in this article, and gives ours views. Multi-image intelligent video surveillance is a new direction. If it involves in the computers and internet, then it can monitor and track the motion object to make the real meaning unattended monitoring epoch come true.

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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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