DOI
stands for Digital Object Identifier
(
D
igital
O
bject
I
dentifier
)
,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
「
http://dx.doi.org/
」
before a DOI.
For instance, if the DOI of an article is
10.5297/ser.1201.002
, you can link persistently to the article by entering the following link in your browser:
http://dx.doi.org/
10.5297/ser.1201.002
。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration ( doi.airiti.com ) 。
Image Based Vehicle Detection and Counting System
吳學良 , Masters Advisor:王明習
繁體中文
DOI:
10.6844/NCKU.2011.02349
車輛偵測 ; 交通監視 ; 背景擷取 ; 移動物件偵測 ; vehicle detection ; traffic monitoring ; background extraction ; motion object detection


- [3]I. Masaki, “Machine-vision systems for intelligent transportation systems,” IEEE Intelligent Systems, Vol. 13, Issue 6, pp. 24-31, 1998.
連結: - [4]Ling Lin, Xiao-Bin Han, Ru Ding, Gang Li, and Quan Hong, “Mini Inductive Loop Vehicle Detection Sensor,” Chinese Journal of Sensors and Actuators, Vol.19, No.4, pp.994-1000, 2006.
連結: - [5]B. Coifman, D. Beymer, P. McLauchlan, and I. Malik, “A real-time computer vision system for vehicle tracking and traffic surveillance,” Transportation Research Part C:Emerging Technologies﹐Vol. 6﹐Issue 4, pp.271-288, 1998.
連結: - [7]C. Anderson, Peter Burt, and G. van der Wal, “Change detection and tracking using pyramid transformation techniques,” In Proceedings of SPIE - Intelligent Robots and Computer Vision, vol. 579, pp. 72-78, 1985.
連結: - [10]許芝華,“應用於交通監視系統上之及時車輛計數演算法”,國立成功大學電腦與通信工程研究所碩士論文,2007.
連結: