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The technology of high-definition video detection has the virtue of high resolution, which can clearly detect vehicle information and license plates, etc. In this paper, according to the characteristics of high-definition video detection technology, we propose a new vehicle location and tracking method, which is based on the brightness curve. Firstly, break up the image by regions, and then we can...
This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking,...
This paper presents a complete system for accurately and efficiently counting vehicles in a highway surveillance video. The proposed approach employs vehicle detection and tracking modules. In the detection module, an automatically trained binary classifier detects vehicles while providing robustness against view-point, poor quality videos and clutter. Efficient tracking is then achieved by a simplified...
In this paper we describe a multi-camera traffic monitoring system relying on the concept of probability fusion maps (PFM) to detect vehicles in a traffic scene. In the PFM, traffic images from multiple cameras are inverse perspective-mapped and registered onto a common reference frame, combining the multiple camera information to reduce the impact of occlusions. Although the unconstrained perspective...
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