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Opencv-based Infrared Moving Object Detection And Tracking Algorithm To Achieve

Posted on:2011-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:J L ChenFull Text:PDF
GTID:2208360302998253Subject:Optical Engineering
Abstract/Summary:PDF Full Text Request
The infrared imaging technology works on the passive functional mode of receiving the infrared reflection of target, so it has the advantages of all-weather working condition, excellent concealing characteristic and so on. With the development of infrared technology, the infrared imaging system has been widely applied into the military area and civil area, such as Infrared Precision Guidance, Warning System, Video Surveillance, Searching and Tracking. As one of the most important technologies in those applications, the moving target detecting and tracking technology base on the infrared imaging system plays an important role, and has wide application prospect in the military area and civil area.This paper focuses on the infrared moving target detecting and tracking. At the same time, we pay attention to the moving target's detecting and tracking in the colors video.At the beginning of this paper, some basic principles and the implementing flow charts of a series of algorithms for target detecting and tracking are described. Then, according to actual needs and the comparison results of those algorithms, some of them are optimized in combination with the image pre-processing. On the foundation of above works, a moving target detecting and tracking software base on the OpenCV is developed by the software developing platform MFC.Three kinds of detecting algorithms and two kinds of tracking algorithms are integrated in this software. These three detecting algorithms are temporal differencing, background prediction and mixture Gauss model.And these two tracking algorithms are Kalman and Camshift. In order to explain the software clearly, the framework and the function are described in this paper. At last, the implementing processes and results are analyzed, and those algorithms for detecting and tracking targets are evaluated from the two aspects of subjective and objective. This paper is very significant in the application of the infrared target detecting and tracking technology. And it has some value for the pre-research work in the project of "Ultra-low Altitude Target Detecting, Identification and Tracking Technology".
Keywords/Search Tags:Moving target, Target detecting and tracking, OpenCV, Temporal differencing, Background prediction, Mixture Gauss model, Kalman, Camshift
PDF Full Text Request
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