Road congestion state detection method based on computer vision
A computer vision and congestion state technology, applied in computer parts, computing, traffic flow detection, etc., can solve problems such as the inability to respond well to traffic congestion, the decline in the accuracy of clustering algorithms, and the occurrence of deviations.
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[0062] This embodiment relates to a specific computer vision-based road congestion state detection process, which specifically includes the following steps:
[0063] Step 1: Capture traffic monitoring images: use the existing road traffic monitoring system, first intercept traffic monitoring videos of different road conditions in the city, intercept a traffic monitoring image every 5 seconds, obtain a large number of RGB format images, and adjust them uniformly to 224 *224*3 size, and calculate the mean value of the three RGB channels of all images, and standardize the input data with 0 mean value as a data set; and mark the data set into three categories: less vehicles, more vehicles and dense vehicles , as the training set for neural network training;
[0064] Step 2: Construct a convolutional neural network: For the three types of vehicle density states, use the migration model training method to construct a convolutional neural network, so that it has the ability to accura...
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