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We present a robust real-time vision-based system for vehicle tracking and categorization, developed for traffic flow surveillance. We propose a robust segmentation algorithm that detects foreground pixels corresponding to moving vehicles. Experimental results based on four large datasets show that our method can count and classify vehicles with a high level of performance (more than 98%).
We present a system to perform video analysis in the context of traffic surveillance's application. A training step is performed to estimate the scene's geometry and global information about the motion that occurs in the scene. Lanes boundaries, depth and motion information given by the initialization step are used to assist the vehicles' segmentation and to correct eventual errors.
A new floating car data technology in Hefei has been developed that provides real-time traffic information within Hefei's two ring road. It is based on the collection of localisation data, speed, direction of travel and time information from GPS in vehicles that are being driven. The scope of the project is to development and creation of a Web-based data mart for the collection of FCD. The aim of...
Forewarning to avoid potential traffic accidents is of great importance for Intelligent Transportation Systems (ITS). Under pedestrian and vehicle mixed traffic conditions like urban road intersections, traffic monitoring and forewarning have especially important values. Therefore in this paper a novel urban traffic information analysis and forewarning system is presented. Our system contains modules...
Optical systems are well suited for traffic observation and management. The real-time requirements can be met by implementation of appropriate image processing algorithms in hardware. Being one of the most important applications of optical sensors, vision-based vehicle detection and shape recognition for collecting information about road congestion, for driver assistance and for providing information...
Real-time image processing is a difficult work for traffic video monitoring. This paper proposed a method to detect and track vehicles on highway based on airship video and therefore calculate traffic parameters in real-time. A blocking road extraction was performed to determine the ROI, and automatically calculate the tilt of the road which contributes to vehicles detection. A lane marks registration...
Moving vehicles segmentation is the key step of traffic parameters detection by video. The cast shadow of vehicle run with it, so it is difficult to segment the moving vehicle accurately and effectively. The paper discover the difference between the road and vehicle in texture, and propose a method of detection and removing vehicle shadow. First of all, road background is set up according to the serial...
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