Method and system for achieving classification of pedestrians and vehicles based on neural network
A technology of neural network and convolutional neural network, which is applied in the field of automobile classification to achieve the effect of improving accuracy and speed of classification
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[0057] The invention provides a method and system for classifying people and vehicles based on a neural network, aiming at effectively and accurately classifying people and vehicles in a complex environment, thereby improving the classification accuracy and classification speed. The present invention can be applied to a large number of occasions, such as traffic monitoring systems, security equipment systems, and the like. It has higher accuracy in human-vehicle classification and faster detection speed, which is crucial for some real-time systems and has huge application prospects.
[0058] like figure 1 As shown, the method for realizing the classification of people and vehicles based on a neural network provided by the present invention includes the following steps:
[0059] S100, collecting several training samples, and using a convolutional neural network to classify the training samples to obtain a classifier including label results;
[0060] S200. When classifying peo...
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