Correlation filtering based end-to-end rapid pedestrian re-identification method

Abstract

The invention relates to a correlation filtering based end-to-end rapid pedestrian re-identification method, and overcome the problem that re-identification cannot be implemented unless a lot of candidate pedestrians are marked manually in a present pedestrian re-identification method. Instead, a target pedestrian is directly re-identified from a lot of pictures including pedestrians. End-to-end pedestrian re-identification can be realized needless of pedestrian detection.

Description

technical field [0001] The present invention relates to the technical field of video surveillance, and more specifically, relates to an end-to-end fast pedestrian re-identification method based on correlation filtering. Background technique [0002] Since China's reform and opening up, the national economy has grown rapidly, and the process of urbanization has accelerated in an all-round way. More and more people are pouring into big cities to participate in various constructions of the city. The urban population density is too high, and public safety incidents have attracted much attention. In order to protect the lives and properties of the masses, a large number of surveillance cameras are installed in various public places such as subways, streets and shopping malls. However, in the face of complex monitoring networks and massive monitoring data, it is difficult to achieve rapid processing by relying on human monitoring. Therefore, the need to use computer vision and m...

AI Technical Summary

Problems solved by technology

But in the actual video surveillance environment, the target pedestrians are often hidden in different picture backgrounds and crowds

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