Vehicle color identification method and system based on matching

Abstract

The invention discloses a vehicle color identification method based on matching. The vehicle color identification method includes the steps of extracting image blocks from training images at will, sampling the image blocks to obtain sampling points, calculating color feature vectors of the sampling points, building representation of the color feature vectors of the image blocks, calculating a code book through a k-means cluster, adding space information to the image features through spatial pyramid matching, training a classifier through an SVM, when identification is carried out, calculating spatial pyramid feature vectors of images to be identified, classifying the spatial pyramid feature vectors of the images to be identified through the classifier, and outputting the identification results of vehicle colors in the images to be identified. The invention further discloses a corresponding vehicle color identification system based on matching. By means of the vehicle color identification method, color judgment with the high accuracy can be made in various complex environments, various kinds of image preprocessing on different image qualities are not needed, and the vehicle color identification method is high in robustness and high in identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to a matching-based vehicle color recognition method and system. Background technique [0002] In the past ten years, due to the rapid economic development, the number of vehicles in various cities has greatly expanded, and it has become increasingly unrealistic to rely on human eyes to identify vehicle information. Therefore, it is of great significance to automatically extract vehicle information through computer vision technology to assist vehicle monitoring. In the various information of the vehicle, including the license plate, vehicle type, etc., the color of the vehicle is a very intuitive and important attribute. The color recognition of the vehicle is to judge the color of the vehicle in the picture of the monitoring system according to the standard of human eyes. In scenarios such as checkpoints, expressways, and urban roads, vehicle color can pro...

AI Technical Summary

Problems solved by technology

[0003] However, there are two major shortcomings in the existing vehicle color recognition methods: the first is that it has a great impact on the accuracy of various climates, and the second is that the recognition results in different time periods have a large gap

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