Traffic camera markup language (TCML)

Yang Cai; Andrew Bunn; Kerry Snyder

doi:10.1117/12.909897

15 February 2012 Traffic camera markup language (TCML)

Yang Cai, Andrew Bunn, Kerry Snyder

Proceedings Volume 8305, Visual Information Processing and Communication III; 830510 (2012) https://doi.org/10.1117/12.909897
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

In this paper, we present a novel video markup language for articulating semantic traffic data from surveillance cameras and other sensors. The markup language includes three layers: sensor descriptions, traffic measurement, and application interface descriptions. The multi-resolution based video codec algorithm enables a quality-of-service-aware video streaming according the data traffic. A set of object detection APIs are developed using Convex Hull and Adaptive Proportion models and 3D modeling. It is found that our approach outperforms 3D modeling and Scale-Independent Feature Transformation (SIFT) algorithms in terms of robustness. Furthermore, our empirical data shows that it is feasible to use TCML to facilitate the real-time communication between an infrastructure and a vehicle for safer and more efficient traffic control.

Citation Download Citation

Yang Cai, Andrew Bunn, and Kerry Snyder "Traffic camera markup language (TCML)", Proc. SPIE 8305, Visual Information Processing and Communication III, 830510 (15 February 2012); https://doi.org/10.1117/12.909897

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