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SCOCA - Traffic Analyzer
SCOCA - Traffic Analyzer is a video-based junction monitoring system that is able to extract and collect traffic data in real-time by analysing video sequences acquired from monocular pole-mounted cameras.
To achieve these goals with a real time solution, the research has been concentrated on the design, implementation, and evaluation of computer vision algorithms mainly based on the detection of moving objects in a real-world scene, trajectory tracking, and feature extraction for object classification.
Applicative goal of the system is the collection of data, for later access, such as the number of vehicles of each class that cross the intersection, their average speed, the intensity and the direction of the traffic flow with respect to the time, the origin-destination distribution map, and so on, that can be presented by means of the SCOCA Statistic Suite package.
Furthermore, if unusual events are detected (e.g. busy intersections), in principle, the system can alarm in real-time the traffic controllers who, observing the scene in remote, could intervene.
The traffic flow information coming from different intersections can be used for a smart timing and coordination of traffic lights that minimizes stops and gives priority to public transport or emergency vehicles and permits the communication with the drivers by means of changeable message signs.
For more information:Stefano Messelodi, Carla Maria Modena, Michele Zanin
A computer vision system for the detection and classification of vehicles at urban road intersections
Pattern Anallysis and Applications (2005) 8: 17–31
Stefano Messelodi, Carla Maria Modena, Gianni Cattoni Vision-based bicycle/motorcycle classification Pattern Recognition Letters (2007) 28(13):1719-1726 10.1016/j.patrec.2007.04.014
The applicative goal of the system is the statistical data collection about traffic, such as the number of vehicles of each class that cross the junction, their average speed, the intensity and the direction of the traffic flow with respect to the time, the origin-destination distribution map.