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Research on Moving Object Retrieval for Video Surveillance

Author: LiYongYong
Tutor: TanYiHua
School: Huazhong University of Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Video surveillance system Target detection Target tracking Target Matching
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 34
Quote: 0
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Abstract


Intelligent video surveillance system is attracting much attention in recent years, the field of computer vision research and application areas , widely used in military and civilian sites , with a wide range of application prospect and research value . Retrieved from the existing monitoring system moving target library users given object has a particular significance for public safety , target retrieval problem for video surveillance systems via moving target detection , target tracking, the movement of the target match target retrieval technology , the main contents of the thesis are summarized as follows: First, the study target detection technology for both static and moving background surveillance video . Different algorithm implementation and results analysis for final demand , choose a the extracted moving target detection technology based on Gaussian mixture model . Through online learning and training process , the algorithm can effectively handle snow background , waterlines fluctuations and sway of the branches scenes , compared with the robust performance of other algorithms . This step for the follow-up of the center of the target and tracking template . Second, the proposed tracking algorithm based on adaptive template update meanshift . By adjacent two frames match SIFT point-to create a model of least squares , solving the scaling factor of the target , the current template and test results of linear fitting method to update the target template . This step to complete the confirmation of the same target and false target to exclude a candidate target template for subsequent target match . Finally, the the target matching gray - based image matching and feature-based image matching strategy , and incorporated herein by demand algorithm . Paper retrieval technology for complex scenes such as the presence of pedestrians wearing similar clothes , there is an interaction between target and so on, there are to be further studied . Detection , tracking and matching results are interdependent , how to pass information between constitute an effective feedback loop may help to improve the precision of retrieval .

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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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