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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/52326

    Title: 多監視器系統中特定人物之追蹤
    Other Titles: People tracking in a multi-camera system
    Authors: 楊偉民;Yang, Wei-min
    Contributors: 淡江大學資訊工程學系碩士班
    許輝煌;Hsu, Hui-huang
    Keywords: 多監視器系統;均值移動;物件偵測;物件追蹤;Multi-Camera System;Mean-Shift;Object Extraction;Object Tracking
    Date: 2010
    Issue Date: 2010-09-23 17:33:06 (UTC+8)
    Abstract: 監視器系統隨著數位化的演變,許多技術被應用在這個領域。然而監視器也因應社會的變遷不斷的增設,而這樣的需求是無可必免的,主要是要嚇阻犯罪的發生和事後尋找犯罪的證據。
    本論文貢獻是提供能夠在多監視器系統追蹤特定目標的系統,並討論在實現本系統所遇到的問題, 以及解決的方法。
    This thesis presents a system for tracking a target of interest across in multi-camera system. The analysis includes three parts: the first part is object segmentation by Bayesian model. The second part is object tracking. Using the object segmentation results and Mean-Shift to track the target we interested in current camera. Last part is collaborate information of each camera for tracking the target in multi-camera.
    Developing system provides users define the multi-camera system environment as they want, and video browsing interface lets users choose the interested target, finally showing the result helps them to know the target trajectories quickly.
    Experiment is used for three surveillance cameras in outdoor environment that recorded for one hour. And we will discuss the problems and solutions in realizing our system.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

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