Year 2015,
Volume: 3 Issue: 4, 226 - 231, 02.12.2015
Abstract
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.
References
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Year 2015,
Volume: 3 Issue: 4, 226 - 231, 02.12.2015
Abstract
References
- (2005) Deutsche Welle Website. [Online].Available: http://www.dw.de/metropollerin-ortak-sorunu-varo%C5%9Flar/a-2523851
- (2004) Mevzuat Magazine Website. [Online]. Available: http://www.mevzuatdergisi.com/2004/01a/03.htm
- Analytical Report: Motor Vehicle Crime in Global Perspective, 24 Jan 2014.
- 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
- K. Bhaskar and S. Young, “Image processing based vehicle detection and tracking method” in International Conference On Computer And Information Sciences (ICCOINS), 2014
- 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
- L. Tsai, J. Hsieh and K. Fan, “Vehicle detection using normalized color and edge map” in IEEE Transactions on Image Processing, 2007
- 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
- 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
- Y. Li and Q. Yao, “Rear lamp based vehicle detection and tracking for complex traffic conditions” in Networking, Sensing and Control (ICNSC), 2012
- Y. Wang, “Joint random field model for all weather moving vehicle detection” in IEEE Transactions on Image Processing, 2010
- K. Robert, “Video based traffic monitoring at day and night” in Conference on Intelligent Transportation Systems (ITSC), 2009
- 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
- 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
- L. Liu, J. Xing and H. Ai, “Multi view vehicle detection and tracking in crossroads” in Asian Conference on Pattern Recognition (ACPR), 2011
There are 15 citations in total.
Details
| Journal Section | Research Article |
|---|---|
| Authors | |
| Publication Date | December 2, 2015 |
| Published in Issue | Year 2015 Volume: 3 Issue: 4 |
