Vehicle re-identification method and system

Abstract

The invention provides a vehicle re-identification method and system based on vehicle component features and set distance measurement learning. The method comprises the steps that global features andlocal features of vehicles are extracted, and the weight of each local feature is determined based on the quality of the local features; and the vehicle re-identification process is completed throughset distance measurement learning. According to the vehicle re-identification method and system, set distance measurement learning is used to accelerate the feature learning process; according to setdistance measurement learning, first, different pictures of the same vehicle are regarded as a set, and the feature learning process is optimized by shortening the picture distance inside each set andmeanwhile prolonging the distance between different sets; and calculation complexity of training is effectively lowered, meanwhile, the features with higher distinction can be obtained, and vehicle re-identification can be performed more accurately.

Description

technical field [0001] The invention relates to the technical field of vehicle identification, in particular to a vehicle re-identification method and system based on vehicle component features and set distance metric learning. Background technique [0002] The vehicle images captured by the monitoring system without overlapping fields of view are the main processing objects used in the vehicle re-identification problem. However, these vehicle images contain problems such as viewing angle changes, resolution, illumination changes, blur, camera settings, complex backgrounds, and occlusions. This makes the vehicle re-identification problem more difficult, and the solutions to these problems are still being studied by many scholars. In the field of vehicle re-identification under the non-overlapping view monitoring system, there are many methods proposed by domestic and foreign researchers. These methods can be roughly divided into two categories, one is the vehicle re-identif...

AI Technical Summary

Problems solved by technology

Using the method of metric learning, it has been successfully applied to the problem of pedestrian re-identification, and has achieved good results, but it is still a relatively new problem to apply it to vehicle re-identification.

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