Traffic video vehicle classification method based on quantum optimization algorithm

The invention provides a traffic video vehicle classification method based on a quantum optimization algorithm, and the method comprises the following steps: 1, carrying out the coarse-grained target detection of an unstructured traffic video vehicle through a target detection algorithm; 2, vehicle brand features of a target vehicle are extracted through a deep learning network algorithm, the extracted vehicle brand features are preprocessed, and preprocessed data are divided into a training data set and a test data set according to 70%/30%; 3, constructing and training a traffic video vehicle feature classification model by using the training data set in the step 2 and combining a quantum optimization algorithm and a traditional support vector machine; and step 4, carrying out classification test on the test data set in the step 2 by using the trained traffic video vehicle classification model to obtain a traffic video vehicle prediction classification result, carrying out comparative analysis on the traffic