隨著影像處理與網路技術的進步，利用具有網路功能的監視系統對欲監測的區域做影像辨識已成為影像處理的主要應用之一。其中，如何對區域內的物體，例如：人、車…等做計數，更是重要的研究議題之一。
在物件計數方式中常見的方法為手動計數、閘門計數。手動計數主要藉由人員於出入口處直接計數，閘門式計數則是在出入口安置一閘門或是在上方／地下安置一感測器，來判別物體的進出，進而計算物體進出的數量；然而在影像處理中利用偵測線進行計數的方式主要為解決無法在開放空間做計數的問題，並且不需要架設專屬的感測器或人員，而只需透過網路攝影機擷取的影像作物體進出的計數。但當物體由於通過順序與停留時間不一時，容易產生誤判狀況。有鑑於此，本論文提出三線計數法來改善計數準確率太低及誤判率太高的問題。

By the development of image processing and network techniques the use of IP surveillance systems to solve identification problems has become one of the main utilities. It includes the methods of precise measuring of the area objects
such as people, cars, etc, which are very important research items.
The common methods of object management are manual counting and automatic counting. Commonly, the counting of people is done manually by human observers at the entrance or exit. Gate counting can also be done by using the sensors placed above or below the entrance to identify and count incoming and outgoing objects. Network camera based object counting using virtual detection line can be done in any open space and there is no need for sensors or human observers. However, several factors may influence the accuracy of network camera based counting, such as different object speed and sequence, leading to inaccurate results. This thesis introduces a three-line counting method that decreases the errors of video based counting and enhances the accuracy of counting data.

[1] 許馥疇，即時影像處理及其在自動導引車導航之應用，國立交通大學控制工程研究所
碩士論文，中華民國八十四年六月。
[2] 曾舜璋，影像追蹤及其在交通資訊估測的應用，國立交通大學電機與控制工程研究所
碩士論文，中華民國九十年七月。
[3] 林清波，基於即時影像追蹤之交通監測系統，國立交通大學電機與控制工程研究所碩
士論文，中華民國九十一年七月。
[4] Beymer, D.; McLauchlan, P.; Coifman, B.; Malik, J., “A Real Time Computer
Vision System for measuring traffic parameters,” Proceedings of the IEEE
Computer Society Conference on Computer Vision and Pattern Recognition,
pp. 495-501, 1997.
[5] 蔡宗諭，即時車種分類與計數，國立台灣師範大學資訊教育研究所碩士論文，中華民
國九十三年七月。
[6] C. J. Chang, W. F. Hu, J. W. Hsieh, and Y. S. Chen, “An Automatic Traffic
Surveillance System for Tracking and Classifying Vehicles,” Proc. Of 15th
IPPR Conf. On Computer Vision, Graphics and Image Processing, pp. 382-387,
2002.
[7] C. J. Chang, W. F. Hu, J. W. Hsieh, and Y. S. Chen, “Shadow Elimination
for Effective Object Detection,” Proc. Of 15th IPPR Conf. On Computer
Vision, Graphics and Image Processing, pp. 185-192, 2002.
[8] Y. C. Chung, J. M. Wang and S. W. Chen, “A Vision-Based Traffic Light
Detection System at Intersections,” Journal of Taiwan Normal University:
Mathematics,Science & Technology, vol. 47, no.1,pp. 67-86, 2002.
[9] S. Gupte, O. Masoud, R. F. K. Martin, and N. P. Papanikolopoulos,
“Detection and Classification of Vehicles,” IEEE Trans. On Intelligent
Transportation Systems, vol. 3,no. 1, pp. 37-47. March 2002.
[10] D. W. Lim, S. H. Choi and J. S. Jun, “Automated Detection of all Kinds of
Violations at a Street Intersection Using Real-Time Indivisual Vehicle
Tracking,” Proc. Of Fifth IEEE Southwest Syposium on Image Analysis and
Interpretation, pp. 126-129, 2002.
[11] 彭益凡，匝道車輛辨識與計數，國立台灣師範大學資訊工程所碩士論文，中華民國95
年七月。
[12] Siyal, M.Y. ,“A new segmentation technique for classification of moving
vehicles Chunrui Zhang, ” Vehicular Technology Conf. Proc. of IEEE 51st,
vol 1, pp.323-326, 2000.
[13] Li-Qun Xu; Landabaso, J.L.; Pardas, M.,”Shadow Removal with Blob-Based
Morphological Reconstruction for Error Correction” Proc.(ICASSP ‘05).
IEEE Int’l Conf. of Acoustics, Speech, and Signal Processing on vol 2,
pp.729-732, 2005.
[14] Wang, J.M.; Chung, Y.C.; Chang, C.L.; Chen, S.W. , “Shadow detection and
removal for traffic images,” IEEE Int’l Conf. On Networking, Sensing and
Control,vol 1,pp.649 – 654, 2004.
[15] 洪順煌，即時影像之交通資訊偵測系統研究，國防大學中正理工學院電子工程所碩士
論文，中華民國九十六年七月。
[16] Chiu, C. C., Wang, C. Y., Ku, M. Y., and Lu, Y. B., “Real Time
Recognition and Tracking System of MultIPle Vehicles,” Proc. of IEEE
Intelligent Vehicles Symposium (IV2006), Tokyo, Japan, pp. 478-483, Jun.,
2006.
[17] He, Z., Liu, J., and Li, P., “New Method of Background Update for Video-
Based Vehicle Detection,” Proc. of 7th International IEEE Conference on
Intelligent Transportation Systems, Washington D.C., USA, pp. 580-584,
Oct., 2004.
[18] Chiu, C. C., Liang, L. W., Ku, M. Y., Wu, B. F., and Luo Y. C.,” Robust
Object Segmentation using Probability-Based Background Extraction
Algorithm,” Proc. of International Conference on Graphics and
Visualization in Engineering, Clearwater, Florida, USA, pp. 25-30, Jan.,
2007.
[19] 林銘樂，夜間即時影像處理擷取交通參數之研究，台灣大學土木工程研究所碩士論
文，中華民國九十五年七月。
[20] 蔡博智，影像追蹤方法應用在監控系統之研究，中原大學機械工程學系碩士論文，民
國91年7月。
[21] 曾佩婷，在特定車道行駛之大型車偵測與追蹤，國立中央大學資訊工程研究所碩士論
文，民國94年6月。
[22] 莊盛淵，夜間車流影像之車輛分類與追蹤之研究，淡江大學運輸管理學系運輸科學研
究所碩士論文，民國91年1月。
[23] 林志宏，視覺化偵測路口內車輛轉向參數之研究，淡江大學土木工程研究所碩士論
文，民國85年6月。
[24] 林桂玉、曾秋蘭、楊碧真、黃祖菁、朱柏蒼，以即時影像為主的偵測線人員計數系
統，朝陽科技大學資訊工程系專題(CYUT-CSIE-2008-B029)，中華民國九十八年六月。
[25] Claudio Sacchi, Gianluca Gera, Lucio Marcenaro, Carlo S.Regazzoni,
“Advanced image-processing tools for counting people in tourist site-
monitoring applications”, 2001.
[26] Thou-Ho (Chao-Ho) Chen, Tsong-Yi Chen, Zhi-Xian Chen, “An Intelligent
People-Flow Counting Method for Passing Through a Gate”, 2006.
[27] 彭振軒, “使用樣板比對做進出口行人數量統計”, 國立中央大學資訊工程研究所碩
士論文，中華民國九十六年六月。
[28] Hsien-Chou Liao, Hung-Chih Wu,”An automatic camera calibration method
using GPS-enabled mobile device”, 2008.
[29] 徐健峰、賴皇志，IP CAM 即時人流計數，大同大學資訊工程學系專題，中華民國九十
六年十二月。
[30] http://www.peoplecounting.co.uk/index.html
[31] http://www.aimetis.com/Embedded/people-counter.aspx
[32] http://www.codeproject.com/