Real time video vehicles’ tracking is very important in the intelligent traffic monitoring system. This is because of the monitoring system provide the useful information for the government to develop a high quality road system that can reduce and prevent accident or congestion. The challenging of development system is to detect the vehicle track and monitor the vehicle movement in real time condition. Therefore, Kalman filter is used for detecting vehicle in a different lighting condition (with and without shadow) and wireless sensor network (WSN) for transmitting real time video to the computer as an input. Then, real time video is a process via MATLAB which Kalman filter is running for detecting moving vehicle. Based on the algorithm developed, this study conducted the test on the road inside university. The results show that the algorithm can detect a moving vehicle appropriately
A Real Time System for Traffic Monitoring By Using Kalman Filter
2017-06-29
Journal of Engineering and Technology (JET); Vol 8, No 1 (2017): JOURNAL OF ENGINEERING AND TECHNOLOGY; 103-110 ; 2289-814X ; 2180-3811
Article (Journal)
Electronic Resource
English
DDC: | 629 |
Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation
Online Contents | 2012
|Taylor & Francis Verlag | 2022
|Real-Time Extended Kalman Filter Stability Indicator
AIAA | 2016
|Real-Time Freeway Traffic State Estimation Based on Extended Kalman Filter: A Case Study
Online Contents | 2007