Low-illumination pedestrian detection method and system based on multi-task feature fusion shared learning

Abstract

The invention discloses a low-illumination pedestrian detection method and system based on multi-task feature fusion shared learning. The method comprises the steps: acquiring normal and low-illumination pedestrian data sets; pre-training an image illumination enhancement network by using the normal and low-illumination pedestrian data sets; pre-training a pedestrian detection network by using thenormal illumination pedestrian data set; designing a multi-task feature fusion module capable of fusing features between upstream and downstream tasks, performing feature fusion and sharing on the two networks, and constructing a low-illumination pedestrian detection network based on multi-task feature fusion shared learning; importing the two pre-training models into the low-illumination pedestrian detection network, and performing training by utilizing the normal and low-illumination data sets to obtain a low-illumination pedestrian detection model based on multi-task feature fusion sharedlearning; and detecting a detected image by using the low-illumination pedestrian detection model based on multi-task feature fusion shared learning to obtain the position of a pedestrian in the image. According to the method, the position of the pedestrian can be accurately and efficiently detected in the low-illumination image.

Description

technical field [0001] The invention belongs to the technical field of computer vision target detection, and more specifically relates to a low-light pedestrian detection method and system based on multi-task feature fusion and shared learning. Background technique [0002] With the rapid development of the world economy, people from different regions, different cities, and different countries have frequent exchanges of personnel, and the subsequent public safety hazards have made the relevant security departments spend a lot of energy. At present, video surveillance equipment, which is an important part of the urban security system, has been widely used, and they are installed in public areas such as roads, streets, schools, and shopping malls. These devices are mainly used to record and store what happened in relevant places, so as to facilitate people to fulfill the needs of remote monitoring and emergency command, and to ensure the public safety of the society. Pedestri...

AI Technical Summary

Problems solved by technology

[0006] In view of the above defects or improvement needs of the prior art, the present invention proposes a low-light pedestrian detection method and system based on multi-task feature fusion and shared learning to solve the problem of poor pedestrian detection in low-light environments

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