基於時空條件下之攝影機網路物件快速搜尋系統

近來幾年，越來越多監視攝影機被廣泛地安裝在公共場所，以監控人們的行為，並應用在許多不同的方面。這些攝影機的拍攝時間通常都相當的長，因此，當特殊事件發生後，我們可能需要花許多時間來觀看監視影片並從冗長的影片中找出目標片段。傳統的做法是使用快速播放來節省影片觀看的時間，雖然利用快轉播放可以將影片的播放時間縮短，但同時也會加快目標的動作，可能使其不意被看清或者容易被忽略。我們提出了一套時空快速影片檢索系統，來解決在監視影片中尋找目標的問題。讓使用者在快速觀看影片的同時也可以擁有足夠的時間仔細看清楚目標。我們的主要概念是取出並且追蹤影片中所有含有最多資訊的連續物件，並改變他們出現在監視影片中的時間軸位置，藉此來產生一個較短的精簡影片，而不是去改變物件本身的動作速度。另外，我們也設計了一個時間空間檢索介面，來幫助使用者可以更快的速度從多支攝影機中找到監視影片中的目標並追蹤其路徑。當目標離開某支攝影機範圍時，系統會自動預測出目標出現在下一攝影機的時間點，並且播放其在該攝影機的原始影像持續追蹤之，若追蹤錯誤，系統會立即再次產生一僅含有可能目標之更為精簡之濃縮影片，讓使用者迅速在影片中找出正確的目標，接著利用系統繼續往下自動追蹤之。本系統的細節以及產生精簡影片的詳細步驟我們將會在本篇論文中加以說明。

關鍵字

監控影片；影片概括；追蹤；濃縮影片

並列摘要

Recently, more and more surveillance cameras are widely installed in public place to monitor people's behavior for various applications. Since surveillance videos are very long, we need a lot of time to scan a video in order to find a specific target. A traditional approach is to use the fast-forward method to saving the scanning time, while this method can shorten the video playing time, but it will also accelerate the movement speed of the targets, and may leads the targets hard to be seen clearly even be ignored. In this thesis, we propose a temporal-spatial quick browsing system for surveillance video to solve this problem. The user can not only fast browse surveillance videos but also clearly look at the target while retrieving targets. Our basic idea is first to extract all moving objects that carry the most significant information in a surveillance video, and then to rearrange their position on the time-axis of the video to short it. In addition, we try to preserve all the essential activities appearing in the original surveillance video. We also design a searching interface that can help the user to find a specific target and track its trajectory in surveillance videos of a camera network. The user can select a target in the compact video associate with a camera view. Then, our system automatically estimates its position in the camera network. If the user find any error occur, a new browsing process can be triggered to help user to track the target correct.

並列關鍵字

surveillance video ； video summarize ； tracking ； synopsis video

參考文獻

[11] H. Kang, Y. Matsushita, X. Tang, and X. Chen, “Space-Time Video Montage,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1331-1338, June 2006.

[9] C.C Chiang, M.N. Tsai, H.F. Yang, "A Quick Browsing System for Surveillance Videos", in Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA, Japan, 2011.

[1] C. Kim and J. Hwang, “An Integrated Scheme for Object-Based Video Abstraction,” ACM Multimedia, pp. 303-311, 2000.

[2] X. Zhu, X. Wu, J. Fan, A.K. Elmagarmid, and W.G. Aref, “Exploring Video Content Structure for Hierarchical Summarization,” MultiMedia Systems, vol. 10, no 2, pp. 98-115, 2004

[3] A.M. Smith and T. Kanade, “Video Skimming and Characterization through the Combination of Image and Language Understanding,” Proc. Int’l Workshop Content-Based Access of Image and Video Databases, pp. 61-70, 1998.

國際替代計量

基於時空條件下之攝影機網路物件快速搜尋系統

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