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Proceedings Paper

Vehicle tracking and analysis within a city
Author(s): Yu Liang; Michael Henderson; Shane Fernandes; Josh Sanderson
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Paper Abstract

Sensor-oriented vehicle tracking and analysis within a city (VTAC) plays an important role in transportation control, public facility management and national security. This project is dedicated to the development of a generic VTAC framework, which employs temporal and spatial dependent partial differential equations (PDE) to formulate the expected traffic flow, through which movement of the observed vehicles may be measured and analysis. The boundary conditions and parameters for the traffic flow are derived from the statistical analysis about historical transportation data; the physics domain is derived from the geographic information system. Using the artificial video data generated by Blender as benchmark data, the VTAC framework is validated by measuring and identifying those anomalous vehicles appeared in the video.

Paper Details

Date Published: 3 June 2013
PDF: 15 pages
Proc. SPIE 8751, Machine Intelligence and Bio-inspired Computation: Theory and Applications VII, 87510F (3 June 2013); doi: 10.1117/12.2014561
Show Author Affiliations
Yu Liang, Central State Univ. (United States)
Michael Henderson, Central State Univ. (United States)
Shane Fernandes, Central State Univ. (United States)
Josh Sanderson, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 8751:
Machine Intelligence and Bio-inspired Computation: Theory and Applications VII
Misty Blowers; Olga Mendoza-Schrock, Editor(s)

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