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