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Research on Improved Aglorithm of Detection and Tracking Based on Three Frame Difference and Camshift

Author: GuoRui
Tutor: JingXiLi
School: Yanshan University
Course: Optics
Keywords: Intelligent Video Surveillance Moving target detection Background subtraction division Frame difference method Target tracking Kalman linear filter
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 124
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Abstract


Intelligent video surveillance is a hot issue in the field of computer vision research has been widely used in the security, military and other fields . Moving target detection and tracking technology is the core of the intelligent video surveillance system and difficult . Therefore, moving target detection and tracking technology has a very important practical significance . Depth study of several traditional moving target detection and tracking algorithm and corresponding algorithms for certain improvements , concrete work are as follows : First , the introduction of the history of the development of the intelligent monitoring system and Research , pointed out that the traditional target detection and tracking the inadequacies of the algorithm ; introduced some of the basic theory of the target image processing , including image enhancement , image denoising , image binarization processing and edge detection provides a theoretical foundation for the improvement of algorithms for the subsequent chapters . Secondly, a detailed study of several traditional target detection algorithm : interframe difference algorithm , background subtraction algorithm and single Gaussian background model algorithm , compare their advantages and disadvantages for the inadequacies of the traditional three differential algorithm , a kinds of improved algorithm , the improved algorithm in the original three differential algorithm on the basis of a combination of background subtraction algorithms , so the algorithm can extract a moving target region relatively complete , eliminate cavitation . Once again, a detailed study traditional target tracking algorithm based on the Cam-shift function . The inadequacies of conventional algorithms proposed an improved method , an improved method combines the Kalman linear filter to be predicted , so that the target position of the target of the next frame of video image motion tracking iteration starting point near the target position more the actual location of , thus narrowing the search range , and reduce the number of calculations of the iterative algorithm to improve the the algorithm tracking processing speed and tracking accuracy , high reliability and robustness of the target tracking . Finally, the improved algorithm simulation and experimental results show that the improved algorithm can effectively detect and track moving objects .

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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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