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http://dx.doi.org/10.6109/jkiice.2015.19.2.435

Tracking and Recognition of vehicle and pedestrian for intelligent multi-visual surveillance systems  

Lee, Saac (Department of Computer Science & Engineering, Korea University of Technology and Education)
Cho, Jae-Soo (Department of Computer Science & Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.2, 2015 , pp. 435-442 More about this Journal
Abstract
In this paper, we propose a tracking and recognition of pedestrian/vehicle for intelligent multi-visual surveillance system. The intelligent multi-visual surveillance system consists of several fixed cameras and one calibrated PTZ camera, which automatically tracks and recognizes the detected moving objects. The fixed wide-angle cameras are used to monitor large open areas, but the moving objects on the images are too small to view in detail. But, the PTZ camera is capable of increasing the monitoring area and enhancing the image quality by tracking and zooming in on a target. The proposed system is able to determine whether the detected moving objects are pedestrian/vehicle or not using the SVM. In order to reduce the tracking error, an improved camera calibration algorithm between the fixed cameras and the PTZ camera is proposed. Various experimental results show the effectiveness of the proposed system.
Keywords
Visual Surveillance System; Object Tracking; Object Classification;
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