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題 名 | Automatic Tracking System with Smooth View--Transition |
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作 者 | 陳冠文; 賴治權; 李佩君; 陳祝嵩; 洪一平; | 書刊名 | 影像與識別 |
卷 期 | 17:2 2011.06[民100.06] |
頁 次 | 頁41-71 |
分類號 | 312.13 |
關鍵詞 | Visual tracking; Camera network; Spatio-temporal relationship; Brightness transfer function; visualization; Egocentric view transition; |
語 文 | 英文(English) |
英文摘要 | There two major tasks of monitoring the targets in a camera network. One is to track targets in a camera network with computer automation. The other is to develop displaying techniques to help users to monitor the tracking results more easily. In this paper, we deal with both tasks and propose an automatic tracking system with smooth view transition visualization. To track targets across multiple cameras, we focus on the situations where the view fields of cameras are not necessarily overlapping each other. We propose an unsupervised method which learns adaptively and can be applied to long-term monitoring. To monitor the tracking activity across networked cameras, we propose a novel egocentric view transition approach, which synthesizes the virtual views during the period of switching cameras and eases the mental effort for users to understand the events. An important property of our system is that it can be applied to the situations of where the view fields of transition cameras are not close enough or even exclusive. |
本系統中英文摘要資訊取自各篇刊載內容。