Publication: Vehicle speed detection system
Issued Date
2009-12-01
Resource Type
Other identifier(s)
2-s2.0-77954471125
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. (2009), 135-139
Suggested Citation
Chomtip Pornpanomchai, Kaweepap Kongkittisan Vehicle speed detection system. ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. (2009), 135-139. doi:10.1109/ICSIPA.2009.5478629 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/27457
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Vehicle speed detection system
Author(s)
Other Contributor(s)
Abstract
This research intends to develop the vehicle speed detection system using image processing technique. Overall works are the software development of a system that requires a video scene, which consists of the following components: moving vehicle, starting reference point and ending reference point. The system is designed to detect the position of the moving vehicle in the scene and the position of the reference points and calculate the speed of each static image frame from the detected positions. The vehicle speed detection from a video frame system consists of six major components: 1) Image Acquisition, for collecting a series of single images from the video scene and storing them in the temporary storage. 2) Image Enhancement, to improve some characteristics of the single image in order to provide more accuracy and better future performance. 3) Image Segmentation, to perform the vehicle position detection using image differentiation. 4) Image Analysis, to analyze the position of the reference starting point and the reference ending point, using a threshold technique. 5) Speed Detection, to calculate the speed of each vehicle in the single image frame using the detection vehicle position and the reference point positions, and 6) Report, to convey the information to the end user as readable information. The experimentation has been made in order to assess three qualities: 1) Usability, to prove that the system can determine vehicle speed under the specific conditions laid out. 2) Performance, and 3) Effectiveness. The results show that the system works with highest performance at resolution 320x240. It takes around 70 seconds to detect a moving vehicle in a video scene.