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Robust Traffic State Estimation on Smart Cameras

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4 Author(s)
Pletzer, F. ; Lakeside Labs., Alpen-Adria-Univ. Klagenfurt, Klagenfurt, Austria ; Tusch, R. ; Boszormenyi, L. ; Rinner, B.

This paper presents a novel method for video-based traffic state detection on motorways performed on smart cameras. Camera calibration parameters are obtained from the known length of lane markings. Mean traffic speed is estimated from Kanade-Lucas-Tomasi (KLT) optical flow method using a robust outlier detection. Traffic density is estimated using a robust statistical counting method. Our method has been implemented on an embedded smart camera and evaluated under different road and illumination conditions. It achieves a detection rate of more than 95% for stationary traffic.

Published in:

Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on

Date of Conference:

18-21 Sept. 2012

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