Abstract

A general method for traffic video surveillance task involves foreground detecting and moving objects’ tracking. The Gaussian mixture model is generally used in detecting foreground and the Kalman filter is used in multi-objects tracking. This paper has implemented a multi-objects tracking system using DM3730 development board as the hardware platform, which is powerful at image processing and analysis. This paper will adopt an Open Computer Vision library (OpenCV) to efficiently implement the overall system. The OpenCV library with a large amount of optimized algorithms in computer vision and machine learning will facilitate the realization of the system. The testing results demonstrate the effectiveness of the system through tracking of vehicles.

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