Solar-Powered Automated Road Surveillance System for Speed Violation Detection

In this paper, a real-time solar-powered road surveillance system is proposed to detect and report moving vehicles that violate the speed limit. The system is designed to operate as a standalone with no connection to the main power line and the wired communication networks. It is powered by a battery array that is charged through solar panels. The data communication with the authorized remote station is achieved via wireless communication technology. A dedicated digital signal processing chip is used to exploit computationally inexpensive image-processing techniques over the video sequence captured from the fixed position video camera for estimating the speed of the moving vehicles. The moving vehicles are detected by analyzing the binary image sequences that are constructed from the captured frames by employing the interframe difference or the background subtraction techniques. A novel adaptive thresholding method is proposed to binarize the outputs from the interframe difference and the background subtraction techniques. The detected moving vehicles are tracked to estimate their speeds. The images of the speeding vehicles are further analyzed to detect license plate image regions according to the predefined color information of the license plates in Northern Cyprus. The detected license plate image regions are reported to the authorized remote station.

[1]  N. Comins,et al.  Discovering the Universe , 1990 .

[2]  Hans Hegt,et al.  A high performance license plate recognition system , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[3]  Larry S. Davis,et al.  W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Paola Mello,et al.  Image analysis and rule-based reasoning for a traffic monitoring system , 2000, IEEE Trans. Intell. Transp. Syst..

[5]  Naim Dahnoun.  Digital Signal Processing Implementation Using the TMS320C6000 DSP Platform , 2000 .

[6]  Sunghoon Kim,et al.  A robust license-plate extraction method under complex image conditions , 2002, Object recognition supported by user interaction for service robots.

[7]  Jun-Wei Hsieh,et al.  Morphology-based license plate detection from complex scenes , 2002, Object recognition supported by user interaction for service robots.

[8]  Sylvie Treuillet,et al.  A biprocessor-oriented vision-based target tracking system , 2002, IEEE Trans. Ind. Electron..

[9]  Osama Masoud,et al.  Detection and classification of vehicles , 2002, IEEE Trans. Intell. Transp. Syst..

[10]  Hitoshi Saji,et al.  Extraction and tracking of the license plate using Hough transform and voted block matching , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[11]  Hsi-Jian Lee,et al.  Detection and recognition of license plate characters with different appearances , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[12]  Daniel J. Dailey,et al.  Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation , 2003, IEEE Trans. Intell. Transp. Syst..

[13]  Rita Cucchiara,et al.  Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Pan Xiang,et al.  A hybrid method for robust car plate character recognition , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[15]  Sei-Wang Chen,et al.  Automatic license plate recognition , 2004, IEEE Transactions on Intelligent Transportation Systems.

[16]  Q Hong,et al.  A new rechargeable intelligent vehicle detection sensor , 2005 .

[17]  Bo Chen,et al.  Development and field test of a laser-based nonintrusive detection system for identification of vehicles on the highway , 2005, IEEE Transactions on Intelligent Transportation Systems.

[18]  Linda O’Connor.  The Trial and Evaluation of Intelligent Road Studs for Hazard Warning , 2005 .

[19]  Mustafa İlkan,et al.  Renewable energy resources as an alternative to modify the load curve in Northern Cyprus , 2005 .

[20]  Hiroshi Kawakami,et al.  A novel adaptive morphological approach for degraded character image segmentation , 2005, Pattern Recognit..

[21]  Doo-Kwon Baik,et al.  Model for accurate speed measurement using double-loop detectors , 2006, IEEE Transactions on Vehicular Technology.

[22]  Zhongxian Li,et al.  Application of Cement-Based Piezoelectric Sensors for Monitoring Traffic Flows , 2006 .

[23]  Jing-Ming Guo,et al.  License Plate Localization and Character Segmentation with feedback self-learning and hybrid-binarization techniques , 2008, TENCON 2007 - 2007 IEEE Region 10 Conference.

[24]  David Zhang,et al.  Moving Vehicle Detection for Automatic Traffic Monitoring , 2007, IEEE Transactions on Vehicular Technology.

[25]  Kang-Hyun Jo,et al.  HSI color based vehicle license plate detection , 2008, 2008 International Conference on Control, Automation and Systems.

[26]  Antonio Fernández-Caballero,et al.  Road-traffic monitoring by knowledge-driven static and dynamic image analysis , 2008, Expert Syst. Appl..

[27]  Yang Wang,et al.  Real-Time Moving Vehicle Detection With Cast Shadow Removal in Video Based on Conditional Random Field , 2009, IEEE Transactions on Circuits and Systems for Video Technology.