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Research of Motional Objects Detection and Tracking Based on Video Image

Author: XiaoDong
Tutor: WangMin
School: Huazhong University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: Intelligent monitoring Moving Target Tracking Mean Shift algorithm Particle filter
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 369
Quote: 4
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Abstract


As people's safety awareness increases, more and more places to use video surveillance equipment, but the traditional video surveillance equipment operators require specialized long observed anomalies , which not only wasted a lot of manpower, and sometimes can not help the operator Some errors occurred problems . Intelligent video surveillance gaining the attention of Chinese and foreign scholars , and in every respect has made great progress . After reading a lot of literature on the basis of papers on intelligent surveillance system video image processing key technology research . The main content background modeling , moving object detection and motion tracking. Papers on Gaussian mixture model and Bayes classification background model for a more in -depth study , these two methods can overcome the background model uncertainties such as changes in light , branches shaking, position changes and other background objects on background model effects, particularly suitable for outdoor complex environment , a lot of experiments prove its efficiency and robustness. In the establishment of an appropriate background model , based on the thesis of the moving target detection and tracking algorithm has been studied . The use of background subtraction method to get moving target , and then through the moving target connectivity analysis of the specific location of each target size and other information. The use of target color information , the use of Mean Shift tracking and \different methods obtained Mean Shift tracking objects with large difference in the color display good stability and computing speed, \Large number of experimental results show that this thesis background model method and moving target detection and tracking method has better speed , stability and robustness, the video surveillance system has important application value.

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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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