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Research on the Algorithm of Moving Small Dim Targets Detection Based on Energy Difference between Frames

Author: LiuYuanYuan
Tutor: YanGuoPing
School: Huazhong University of Science and Technology
Course: Circuits and Systems
Keywords: Small target Moving target detection Target tracking Motion detection model Energy difference between the inter-frame motion Optimization strategy
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 121
Quote: 3
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Abstract


Image low SNR small target detection has been a hot research field of optical and infrared images . Optical sensors and infrared sensors are overheating sensor , has a strong ability to survive in modern warfare , but its role in the shorter distances . Real-time study of small target detection and tracking algorithm can achieve the purpose of expansion of their role in the distance . Among them , the moving target detection is to determine whether the moving target in the image sequence , and the target partition ; target tracking is to determine the position of the same target in the different frames of the image sequence , thereby obtaining the target speed and trajectory information . Target detection and tracking are two closely related processes , small moving target in recent years , the boundaries of the two will be more and more obvious . In this paper, based on inter-frame energy difference algorithm of adaptive motion detection model in view of the lack of information and low signal-to-noise ratio of texture and other physical characteristics of the small target , and it is introduced into the two-dimensional target motion event , complete the small target motion vector estimation and tracking . The main work and the results are as follows : 1 , proposed an adaptive anisotropic multi- parameter motion detection function model . Detection model by comparison of the energy difference of the interframe motion detecting moving targets . The detection algorithm is based on the analysis of the movement pixel to reduce traditional motion detection algorithm \2 , further analysis and explore the multi-parameter motion detection model , through the analysis of the dynamic range and sensitivity of detection model of detecting multi-parameter model to optimize the selection strategy similar assessment of the strategy and in the ideal case of complete . Moving target tracking done preliminary research model is introduced into the motion detection target tracking , and finally through the tracking error analysis to verify the reliability of the optimization strategy tracking results . The experimental results demonstrate the effectiveness and practicality of this motion detection algorithm based on interframe energy difference model for small target detection .

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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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