Vehicle re-recognition method based on key point detection and local feature alignment

Abstract

The invention belongs to the field of computer vision and mode recognition, particularly relates to a vehicle re-recognition method based on key point detection and local feature alignment, and aims to solve the problem that the robustness of vehicle re-recognition is poor due to the fact that the feature consistency is poor when a vehicle view angle change is eliminated by an existing vehicle re-recognition method. The method comprises the following steps: collecting a to-be-recognized vehicle image as an input image; key point detection is carried out on the input image, key points of a to-be-recognized vehicle and corresponding confidence coefficients are obtained, and the to-be-recognized vehicle in the input image is divided into N parts as local images; extracting features of the input image and the local images as global features and local features, and splicing the local features and the global features as comprehensive features; and calculating the distance between the comprehensive feature and the corresponding feature of each image in the vehicle image library, carrying out sorting, and outputting a sorting result as a re-recognition result. According to the invention, the robustness of vehicle re-recognition is improved.

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and in particular relates to a vehicle re-identification method, system and equipment based on key point detection and local feature alignment. Background technique [0002] Vehicle re-identification is a subproblem in the field of image retrieval. Given a query vehicle image, the vehicle re-identification task aims to find images of the same vehicle in other scenes. The essence of its task is to learn a vehicle feature vector generation method to represent the unique characteristics of a vehicle, which is not only robust to various external changes of the same vehicle (such as viewing angle, occlusion, lighting, license plate replacement), but also able to Discriminative enough for two cars that look alike. Among them, the essence of changes such as occlusion and perspective is that the spatial position of the same semantic region in different images of the same car is no...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the existing vehicle re-identification method has poor feature consistency when eliminating vehicle viewing angle changes, which leads to poor vehicle re-identification robustness, the first aspect of the present invention , a vehicle re-identification method based on keypoint detection and local feature alignment is proposed, which includes:

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