Real-time vehicle matching for multi-camera tunnel surveillance

Vedran Jelača; Jorge Oswaldo Niño Castañeda; Andrés Frías-Velázquez; Aleksandra Pižurica; Wilfried Philips

doi:10.1117/12.876671

2 February 2011 Real-time vehicle matching for multi-camera tunnel surveillance

Vedran Jelača, Jorge Oswaldo Niño Castañeda, Andrés Frías-Velázquez, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 7871, Real-Time Image and Video Processing 2011; 78710R (2011) https://doi.org/10.1117/12.876671
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Tracking multiple vehicles with multiple cameras is a challenging problem of great importance in tunnel surveillance. One of the main challenges is accurate vehicle matching across the cameras with non-overlapping fields of view. Since systems dedicated to this task can contain hundreds of cameras which observe dozens of vehicles each, for a real-time performance computational efficiency is essential. In this paper, we propose a low complexity, yet highly accurate method for vehicle matching using vehicle signatures composed of Radon transform like projection profiles of the vehicle image. The proposed signatures can be calculated by a simple scan-line algorithm, by the camera software itself and transmitted to the central server or to the other cameras in a smart camera environment. The amount of data is drastically reduced compared to the whole image, which relaxes the data link capacity requirements. Experiments on real vehicle images, extracted from video sequences recorded in a tunnel by two distant security cameras, validate our approach.

Citation Download Citation

Vedran Jelača, Jorge Oswaldo Niño Castañeda, Andrés Frías-Velázquez, Aleksandra Pižurica, and Wilfried Philips "Real-time vehicle matching for multi-camera tunnel surveillance", Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710R (2 February 2011); https://doi.org/10.1117/12.876671

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