Car Speed Measurement Based on Feature Point Tracking in Traffic Video

Moving car information in traffic video signals contains plenty of important information on road safety. In this paper, we propose an algorithm that extracts and tracks Feature Points of cars, and analyze their trajectories obtained by the tracking. The information is indispensable for measuring moving car speed, counting the number of cars, monitoring distance between two cars, classifying running directions, and monitoring congestion situation. Utilizing Harris operator, Feature Points such as edges and corners are extracted, followed by block-matching to track the Feature Points in successive video frames. Many cars can be tracked at the same time automatically since the information is obtained from video sequences. As an example, this paper shows how car speed can be measured.

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