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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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Access type: Open accessAuthor: search.filters.author.Lai, Yu-Chun

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Now showing 1 - 3 of 3
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    LINEAR PRODUCTION GAME SOLUTION TO A PTZ CAMERA NETWORK
    (2010)
    Lai, Yu-Chun
    ;
    Liang, Yu-Ming
    ;
    Shih, Sheng-Wen
    ;
    Liao, Hong-Yuan Mark
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    Lin, Cheng-Chung
    Reconfiguring the PTZ parameters of a camera network is an combinatorial optimization problem and computing the optimal solution is very time consuming. Therefore, existing methods can only provide sub-optimal solutions. In this paper, a nonlinear objective function for better utilizing the cameras to track multiple targets is proposed. Furthermore, it is shown that by expanding the unknown parameters and imposing new constraints, the nonlinear objective function can be converted into a linear production game (LPG) problem. Since an LPG possesses an optimal solution which can be evaluated with polynomial time, the proposed method is efficient and accurate. Computer simulations have been conducted and the results show that the proposed method is very promising.
  • Thumbnail Image
    Item type:Item,
    Linear Production Game Solution to a PTZ Camera Network
    (2013-05-01)
    Lai, Yu-Chun
    ;
    Liang, Yu-Ming
    ;
    Shih, Sheng-Wen
    ;
    Lin, Cheng-Chung
    ;
    Liao, Hong-Yuan Mark
    Reconfiguring the parameters of PTZ cameras in a surveillance system is a combinatorial optimization problem. Computing the optimal solution is very time consuming, and existing methods can only provide sub-optimal solutions. In this paper, we propose a non-linear objective function that better utilizes a camera network to track multiple targets. We also show that, by expanding the unknown parameters and imposing new constraints, the non-linear objective function can be converted into a linear production game (LPG) problem. Since an LPG yields an optimal solution that can be evaluated in polynomial time, the proposed method is efficient and accurate. The results of simulations and a real-world experiment demonstrate the proposed method's potential.
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    Item type:Item,
    Movie scene segmentation using background information
    (2008-03-01)
    Chen, Liang-Hua
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    Lai, Yu-Chun
    ;
    Liao, Hong-Yuan Mark
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    資訊工程學系
    ;
    Department of Computer Science
    Scene extraction is the first step toward semantic understanding of a video. It also provides improved browsing and retrieval facilities to users of video database. This paper presents an effective approach to movie scene extraction based on the analysis of background images. Our approach exploits the fact that shots belonging to one particular scene often have similar backgrounds. Although part of the video frame is covered by foreground objects, the background scene can still be reconstructed by a mosaic technique. The proposed scene extraction algorithm consists of two main components: determination of the shot similarity measure and a shot grouping process. In our approach, several low-level visual features are integrated to compute the similarity measure between two shots. On the other hand, the rules of film-making are used to guide the shot grouping process. Experimental results show that our approach is promising and outperforms some existing techniques. (C) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.