Feature-based tracking approach for detection of moving vehicle in traffic videos
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Traffic vehicle behavior prediction using hidden markov models
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Identification of moving vehicle trajectory using manifold learning
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Car detection in sequences of images of urban environments using mixture of deformable part models
Pattern Recognition Letters
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Intelligent Transportation Systems need methods to automatically monitor the road traffic, and especially track vehicles. Most research has concentrated on highways. Traffic in intersections is more variable, with multiple entrance and exit regions. This paper describes an extension to intersections of the feature-tracking algorithm described in [1]. Vehicle features are rarely tracked from their entrance in the field of view to their exit. Our algorithm can accommodate the problem caused by the disruption of feature tracks. It is evaluated on video sequences recorded on four different intersections.