A Research on Detection Algorithm of Vehicle Illegal U-Turn

This paper focuses on the automatic detection of illegal U-turn and recording the number of license plates. The algorithm mainly includes the position detection of vehicles’ heads and tails, the marking of vehicles, the license plate recognition, and the judgment of illegal U-turn. The positions of heads and tails are detected by monitoring the headlights and the taillights in RGB color gamut. Most of the headlights are white and the taillights are largely red. In order to avoid the impact of white vehicles on results, the HOUGH Transform and face detection are utilized to determine the position of the steering wheel and the driver, which complement and verify the detection of head position. The edge of the input image needs to be enhanced to improve image quality. It will be judged whether the moving vehicle has had an illegal U-turn. The effectiveness of the algorithm is verified by simulation with MATLAB. Through the analysis of experimental results, it is demonstrated that the algorithm designed in this paper is feasible and achieves the desired design requirements.

[1]  Karl Andersson,et al.  Performance analysis of a surveillance system to detect and track vehicles using Haar cascaded classifiers and optical flow method , 2017, 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[2]  K. Madani.  Artificial Neural Networks Based Image Processing & Pattern Recognition: From Concepts to Real-World Applications , 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.

[3]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[4]  Min Zheng,et al.  A new method based on hough transform for quick line and circle detection , 2015, 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI).

[5]  Argel A. Bandala,et al.  Simultaneous face detection and recognition using Viola-Jones Algorithm and Artificial Neural Networks for identity verification , 2014, 2014 IEEE REGION 10 SYMPOSIUM.

[6]  S. Padmavathi,et al.  Illumination invariant face detection using viola jones algorithm , 2017, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS).

[7]  Chen Yan,et al.  Design of a detection system of faces intercepted by video based on the skin color model , 2017, 2017 4th International Conference on Systems and Informatics (ICSAI).

[8]  Chen Zhu,et al.  A novel video detection design based on modified adaboost algorithm and HSV model , 2017, 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).

[9]  Lei Xu,et al.  A New Method for License Plate Detection Based on Color and Edge Information of Lab Space , 2011, 2011 International Conference on Multimedia and Signal Processing.