以俯視視訊從事行人計數

People Counting Based on Top-View Video Sequence

李立楷(Li-Kai Lee)

指導教授 ： 陳世旺

國立臺灣師範大學/理學院/資訊工程研究所/碩士(2004年)

摘要

在本論文中，我們提出一個以俯視視訊為基礎之行人計數系統。在本系統中，使用俯視視訊來代替傳統的紅外線或柵門進行行人計數，最大的優點是不影響行人通行，且因為行人區塊不易重疊，而使計數效果更為準確。系統架構主要由行人偵測以及行人計數兩方面所組成：在行人偵測方面，應用以K-mean為基礎的影像分割技術來擷取行人區塊，可以使系統應用較不受光線所影響；在行人計數方面，採用graph matching技術，同時整合區塊本身及區塊間的特徵進行追蹤，使追蹤結果較可信賴，最後根據區塊的移動路徑以及區塊面積修正計數的結果。最後的實驗結果顯示，本系統在光線不斷變化或行人通過數量較多時，仍可以進行有效的計數。

關鍵字

影像叢集 ； 行人計數 ； 區塊追蹤 ； 區塊合併 ； 影像分割

並列摘要

In this thesis, a people counting system based on top-view video sequences is proposed. This system consists of foreground people detection and people counting algorithm. For people detection, an image segmentation method based on k-means clustering is employed to extract human figures. In order to use in different of illumination conditions, we use region merging to remove shadows of each object. With this approach, our system can be applied in outdoor environments. In the people counting part, human regions are tracked and counted based on a graph matching algorithm. Tracking results are used to determine the direction of region movement based on unary and binary features. Our system has been tested in many different cases of pedestrian density. We give examples of the system counting people in real-time in describe.

並列關鍵字

image clustering ； people counting ； region tracking ； region merge ； image segmentation

參考文獻

[Jae] Jae-Won Kim, Kang-Sun Choi, Byeong-Doo Choi, Sung-Jea Ko, “Real-time Vision-based People Counting System for the Security Door” Department of Electronics Engineering,Korea University, Anam-dong, Sungbuk-ku, Seoul, 136-701, Korea E-mail: [e-mail]

[Har99] I. Haritaoglu, D. Harwood, L.S. Davis, “Hydra: multiple people detection and tracking using silhouettes” Image Analysis and Processing, 1999. Proceedings. International Conference on , 27-29 Sept. 1999 Pages:280 – 285

[Kuh55] H. Kuhn, “The hungarian method for the assignment problem.” Naval Research Logistics Quarterly, 2:83--97, 1955. (Ref: p. 75.)

[Lai98] A.H.S. Lai, N.H.C Yung, “A fast and accurate scoreboard algorithm for estimating stationary backgrounds in an image sequence” Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on , Volume: 4 , 31 May-3 June 1998 Pages:241 - 244 vol.4

[Mez04] V. Mezaris, I. Kompatsiaris, M.G. Strintzis, “Video object segmentation using Bayes-based temporal tracking and trajectory-based region merging” Circuits and Systems for Video Technology, IEEE Transactions on Volume 14, Issue 6, June 2004 Page(s):782 – 795