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Gait Recognition Based on the Contour Feature and the Fuzzy Integral

Author: WangDanGui
Tutor: LuoBin
School: Anhui University
Course: Computer Applications
Keywords: Fuzzy Integral Moving Object Detection Moving Shadow Detection Background Modeling Gait Recognition
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 119
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Abstract


Gait recognition is a technology which detected the gait through a series of video gait images sequences. Since it can detect the object from a long distance and could not be offensive, so it is widely used in the area of video surveillance.In this thesis, the following work about gait detection、feature extraction and gait recognition is done:In the area of gait recognition, the adaptive Gaussian mixture model is used to construct the background model. Background reduction division is also used to extract the gait contour. The experiment results show the method in this thesis is much better compared to the frame difference method.In the process of shadow detection the existence of the shadow is judged based on the visual characteristics of shadows. If the shadow exists, gradient analysis and binary fast clustering method are used to detect it. At last the two methods are compared with each other and the result can prove the binary fast clustering method is better.In gait characteristics extraction, dynamic characteristic gait and static characteristics were extracted based on the Gait contour. The gait width characteristics and the gait outline histogram, Fourier descriptor features and characteristics of wavelet using the Fourier transform and basic theory of wavelet transform in a gait circle are extracted.And PCA together with LDA is used to reduce the feature’s dimension. LLE and LPP are also introduced. The work can reduce the complex of the following recognition.In gait feature recognition, fuzzy integral is used in classifiers fusion, the classifier’s importance is determined according to the characteristics of the subordinate matrix after the membership is determined. Thus make classifier is complementary, can be effectively in decision-making compared to the HMM model method.Lastly, use VC calls MATLAB engine to get the gait moving targets, use Gait database of 20 individual with three perspectives of video gait sequence to construct the simulation experiment, the experiment result in this thesis proves the method has advantages. Key words:Fuzzy Integral; Moving Object Detection; Moving Shadow Detection; Background Modeling; Gait Recognition

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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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