Visual tracking strategies for intelligent vehicle highway systems

Christopher E. Smith; Nikolaos P. Papanikolopoulos; Scott A. Brandt; Charles Richards

doi:10.1117/12.198923

6 January 1995 Visual tracking strategies for intelligent vehicle highway systems

Christopher E. Smith, Nikolaos P. Papanikolopoulos, Scott A. Brandt, Charles Richards

Proceedings Volume 2344, Intelligent Vehicle Highway Systems; (1995) https://doi.org/10.1117/12.198923
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

The complexity and congestion of current transportation systems often produce traffic situations that jeopardize the safety of the people involved. These situations vary from maintaining a safe distance behind a leading vehicle to safely allowing a pedestrian to cross a busy street. Environmental sensing plays a critical role in virtually all of these situations. Of the sensors available, vision sensors provide information that is richer and more complete than other sensors, making them a logical choice for a multisensor transportation system. In this paper we present robust techniques for intelligent vehicle-highway applications where computer vision plays a crucial role. In particular, we demonstrate that the controlled active vision framework can be utilized to provide a visual sensing modality to a traffic advisory system in order to increase the overall safety margin in a variety of common traffic situations. We have selected two application examples, vehicle tracking and pedestrian tracking, to demonstrate that the framework can provide precisely the type of information required to effectively manage the given situation.

Citation Download Citation

Christopher E. Smith, Nikolaos P. Papanikolopoulos, Scott A. Brandt, and Charles Richards "Visual tracking strategies for intelligent vehicle highway systems", Proc. SPIE 2344, Intelligent Vehicle Highway Systems, (6 January 1995); https://doi.org/10.1117/12.198923

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