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The Research of Moving Object Detectionalgorithm in Intelligent Visual Surveillance System

Author: TanFeiFei
Tutor: ZuoMin
School: Beijing Technology and Business University
Course: Management Science and Engineering
Keywords: Moving target detection Background subtraction method Scatter Connected domain OpenCV
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 50
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Abstract


With the development of intelligent visual surveillance, the activities target detection technology research into a new dimension. Moving target detection means to determine whether there is a foreground object movement, if there is the target for the initial positioning of the detection process in the sequence of video images, it is to achieve the basis for target identification and tracking. In this paper, the analysis and research of existing activities target detection algorithm based on the completion of the Research and implementation of intelligent visual surveillance system moving target detection algorithm. The main work of the paper is as follows: (1) consider the convenience and ease of use of intelligent visual surveillance proposed using a USB video capture card to capture video, get a clear video image. Through the the OpenCV library video stream processing, including the pretreatment of the video image and to control the video stream in the read and write the video file. (2) The extension of the idea of ??the background difference method of moving target detection, proposed moving target detection is divided into four phases, the initial background structure, scatter removal connected domain detection and background updates, respectively, were studied at different stages algorithm and propose improved μ? σ background building algorithm, scatter removal algorithm connected domain detection algorithm and background update algorithm. (3) the demand for intelligent visual surveillance, moving target detection, improved background subtraction method. The algorithm to include video capture, moving target detection, the whole process of target identification and early warning activities, can be ported to any intelligent visual surveillance system has the versatility and high detection accuracy. (4) This article focus on solving the problem of moving target detection slow changes due to the light, the light suddenly changes and scatter caused by three types of false alarms. Background update algorithm to solve the problem of light changes, combined with the scatter removal algorithm and connected domain detection algorithm to remove scatter above algorithm is easy to understand and implement high validity. (5) code implementation and experimental results show the important work. By coding to achieve the five algorithms proposed in this paper, and related activities target detection function, and validate the algorithm through the captured video. Activities target detection as a basis for intelligent visual target classification, target tracking, behavior understanding, is widely used in traffic management, monitoring military scenarios, sensitive public places and other fields, has a broad market prospect.

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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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