This paper proposes a new approach for the classification of vehicles in image sequences recorded by a stationary camera. The novelty consists in organizing tracking data into direct acyclic graphs and in the use of recursive neural networks to discriminate which vehicle is represented in each graph. Experimental results from real-world traffic scenes are shown in the last section
Recursive Neural Networks for the classification of vehicles in image sequences
2004-01-01
Abstract
This paper proposes a new approach for the classification of vehicles in image sequences recorded by a stationary camera. The novelty consists in organizing tracking data into direct acyclic graphs and in the use of recursive neural networks to discriminate which vehicle is represented in each graph. Experimental results from real-world traffic scenes are shown in the last sectionFile in questo prodotto:
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