TY - JOUR TT - Video Enhanced RFID Tracking System AU - Arica, Nafiz AU - Celik, Anil AU - Karaman, Bayazit AU - Bayrak, Coskun AU - Kececi, Onur PY - 2015 DA - December DO - 10.18100/ijamec.04378 JF - International Journal of Applied Mathematics Electronics and Computers PB - PLUSBASE AKADEMİ ORGANİZASYON VE DANIŞMANLIK WT - DergiPark SN - 2147-8228 SP - 226 EP - 231 VL - 3 IS - 4 KW - vehicle detection KW - vehicle tracking; video enhanced RFID tracking N2 - Generally speaking, crimes in which vehicles are used are generally highly organized criminal activities affecting all regions of the world and with clear links to illegal activities and terrorism [3]. Therefore, catching illegal vehicles on the roads is an important preventive measure in security. In this paper, we propose a Video Enhanced RFID Tracking System to monitor the activities of vehicles through the use of readers, tags, and video together. The proposed system retrieves the registered visual properties of vehicles in the environment by querying their RFID tags on the database in the Command Control Center. It processes the video frames simultaneously, and extracts the visual features of detected vehicles. The information collected both from video and RFID database query is then combined in such a way that they validate each other. If an inconsistency is detected in this process an existence of illegal vehicle is found in the environment. CR - (2005) Deutsche Welle Website. [Online].Available: http://www.dw.de/metropollerin-ortak-sorunu-varo%C5%9Flar/a-2523851 CR - (2004) Mevzuat Magazine Website. [Online]. Available: http://www.mevzuatdergisi.com/2004/01a/03.htm CR - Analytical Report: Motor Vehicle Crime in Global Perspective, 24 Jan 2014. CR - Devyani Bajaj, Neelesh Gupta GPS Based Automatic Vehicle Tracking Using RFID, International Journal of Engineering and Innovative Technology (IJEIT)Volume 1, Issue 1, January 2012 CR - K. Bhaskar and S. Young, “Image processing based vehicle detection and tracking method” in International Conference On Computer And Information Sciences (ICCOINS), 2014 CR - L. Huang, “Real time multi vehicle detection and sub feature based tracking for traffic surveillance systems” in Informatics in Control, Automation and Robotics (CAR), 2010 CR - L. Tsai, J. Hsieh and K. Fan, “Vehicle detection using normalized color and edge map” in IEEE Transactions on Image Processing, 2007 CR - J. Yang, Y. Wang, A. Sowmya and Z. Li, “Vehicle detection and tracking with low angle cameras” in International Conference on Image Processing (ICIP), 2010 CR - Y. Chen, B. Wu and C. Fan, “Real time vision based multiple vehicle detection and tracking for nighttime traffic surveillance” in Systems, Man and Cybernetics (SMC), 2009 CR - Y. Li and Q. Yao, “Rear lamp based vehicle detection and tracking for complex traffic conditions” in Networking, Sensing and Control (ICNSC), 2012 CR - Y. Wang, “Joint random field model for all weather moving vehicle detection” in IEEE Transactions on Image Processing, 2010 CR - K. Robert, “Video based traffic monitoring at day and night” in Conference on Intelligent Transportation Systems (ITSC), 2009 CR - J. Yang, Y. Wang, A. Sowmya, Z. Li, B. Zhang and J. Xu , “Feature fusion for vehicle detection and tracking with low angle cameras” in Applications of Computer Vision (WACV), 2011 CR - H. Sheng, C. Li, Q. Wei and Z. Xiong, “An approach to motion vehicle detection in complex factors over highway surveillance video” in Computational Sciences and Optimization (CSO), 2009 CR - L. Liu, J. Xing and H. Ai, “Multi view vehicle detection and tracking in crossroads” in Asian Conference on Pattern Recognition (ACPR), 2011 UR - https://doi.org/10.18100/ijamec.04378 L1 - https://dergipark.org.tr/en/download/article-file/259048 ER -