Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object tracking using CamShift algorithm and multiple quantized feature spaces
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Fuzzy-based algorithm for color recognition of license plates
Pattern Recognition Letters
Vehicle license plate detection algorithm based on color space and geometrical properties
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Superresolution of License Plates in Real Traffic Videos
IEEE Transactions on Intelligent Transportation Systems
Multimedia technology for pervasive computing environment
The Journal of Supercomputing
Hi-index | 0.00 |
Abstract Information about vehicles on the road is very important for the maintenance of traffic control in current complex traffic condition. Images of vehicles are captured by vehicle-directed cameras. This paper proposes a new vehicle tracking mechanism using license plate recognition technology, which is essential to having information about vehicles on the roads. The proposed method is a real-time processing system using multistep image processing, as well as recognition and tracking processes from 2D and 3D images. The experimental results of real environmental images in recognition and tracking using the proposed method are shown.