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Proceedings Paper

Traffic camera markup language (TCML)
Author(s): Yang Cai; Andrew Bunn; Kerry Snyder
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Paper 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.

Paper Details

Date Published: 15 February 2012
PDF: 11 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 830510 (15 February 2012); doi: 10.1117/12.909897
Show Author Affiliations
Yang Cai, Carnegie Mellon Univ. (United States)
Andrew Bunn, Carnegie Mellon Univ. (United States)
Kerry Snyder, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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