In this paper a moving vehicle detection algorithm based on visualprocessingmechanism with multiplepathways is proposed, in which the multiple pathways visual processing mechanism is inspired by the biological visu...
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ISBN:
(纸本)9783319220536;9783319220529
In this paper a moving vehicle detection algorithm based on visualprocessingmechanism with multiplepathways is proposed, in which the multiple pathways visual processing mechanism is inspired by the biological visual system. According to the different moving directions of front vehicles, orientation selectivity of visual cortex cells is used to construct a visualprocessing model with three pathways. In each pathway, an AdaBoost cascade classifier is trained using a set of special samples for detection of moving vehicles. The AdaBoost cascade classifier is response to multi-block local binary patterns (MB-LBP) of vehicles. The experimental results show that the multiple pathways visual processing mechanism, compared with the single pathway AdaBoost cascade classifier and the conventional method, not only can reduce the complexity of the classifier and training time, but also can improve the recognition rate of moving vehicle.
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