Real-time road traffic classification using mobile video cameras

A. Lapeyronnie; C. Parisot; J. Meessen; X. Desurmont; J.-F. Delaigle

doi:10.1117/12.766313

27 February 2008 Real-time road traffic classification using mobile video cameras

A. Lapeyronnie, C. Parisot, J. Meessen, X. Desurmont, J.-F. Delaigle

Proceedings Volume 6811, Real-Time Image Processing 2008; 681108 (2008) https://doi.org/10.1117/12.766313
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

On board video analysis has attracted a lot of interest over the two last decades with as main goal to improve safety by detecting obstacles or assisting the driver. Our study aims at providing a real-time understanding of the urban road traffic. Considering a video camera fixed on the front of a public bus, we propose a cost-effective approach to estimate the speed of the vehicles on the adjacent lanes when the bus operates on a dedicated lane. We work on 1-D segments drawn in the image space, aligned with the road lanes. The relative speed of the vehicles is computed by detecting and tracking features along each of these segments. The absolute speed can be estimated from the relative speed if the camera speed is known, e.g. thanks to an odometer and/or GPS. Using pre-defined speed thresholds, the traffic can be classified into different categories such as 'fluid', 'congestion' etc. The solution offers both good performances and low computing complexity and is compatible with cheap video cameras, which allows its adoption by city traffic management authorities.

Citation Download Citation

A. Lapeyronnie, C. Parisot, J. Meessen, X. Desurmont, and J.-F. Delaigle "Real-time road traffic classification using mobile video cameras", Proc. SPIE 6811, Real-Time Image Processing 2008, 681108 (27 February 2008); https://doi.org/10.1117/12.766313

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