Target detection method and device under foggy day condition

Abstract

The invention provides a target detection method and device under a foggy day condition, and the method comprises the following steps: obtaining an original data set comprising a plurality of foggy day images, and carrying out the enhancement of the foggy day images in the original data set; defogging the enhanced foggy day image in the original data set through a defogging algorithm to obtain a defogged data set; constructing a neural network, wherein the neural network comprises a feature extraction network and a prediction network, the feature extraction network comprises a deformable convolution network and a feature pyramid network, the prediction network comprises a first-stage network and a second-stage network, and the second-stage network comprises a double-branch structure; training a neural network through the original data set and the defogged data set after enhancement processing to obtain a target detection model; and performing target detection on the to-be-detected foggy day image through the target detection model. According to the method, rapid and accurate target detection can be carried out on an image under a foggy day condition.

Description

technical field [0001] The present invention relates to the technical field of target detection, in particular to a target detection method under foggy conditions, a target detection device under foggy conditions, a computer device, a non-transitory computer-readable storage medium and A computer program product. Background technique [0002] In recent years, target detection technology has been widely used in intelligent video surveillance, industrial detection, military reconnaissance and other fields. As a basic research problem in the field of computer vision, it plays an important role in face recognition, target tracking, video segmentation and other directions. important role. With a lot of research work, the target detection technology in fixed environment and conditions has made great progress, but in bad weather conditions, poor lighting conditions, etc., the captured images have very low visibility and often contain More noise brings great challenges to the dete...

AI Technical Summary

Problems solved by technology

With a lot of research work, the target detection technology in fixed environment and conditions has made great progress, but in bad weather conditions, poor lighting conditions, etc., the captured images have very low visibility and often contain More noise, which brings great challenges to the detection task

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