Target detection method and system based on low-resolution image

Abstract

The invention provides a target detection method and system based on a low-resolution image, and relates to the technical field of target detection. The method comprises the following steps: obtaining the low-resolution image of a to-be-detected target; performing feature extraction on the low-resolution image to obtain a corresponding feature map; processing the feature map to obtain a corresponding detection frame; processing the detection frame to obtain a coordinate and a classification probability score of the detection frame; and performing detection classification on the to-be-detected target according to the coordinate of the detection frame and the classification probability score. According to the method, the feature map with deep semantics can be extracted under the condition that the low-resolution image is not amplified, so that the detection time can be effectively shortened on the premise that the detection precision is not lost.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a low-resolution image-based target detection method and a low-resolution image-based target detection system. Background technique [0002] In recent years, low-resolution object recognition technology based on deep learning has continued to receive extensive attention from academia and industry. Taking handwritten digit string recognition as an example, the intuitive way to understand this task is to first find the digits in a picture and then recognize them, which is very similar to target detection. However, these methods based on target detection are detected by enlarging the image to a certain size, and there are some problems: first, after enlarging the low-resolution image, extracting features from it will lead to unnecessary time consumption; second, If the low-resolution image is not enlarged and the image is directly sent to the network, a small feature map w...

AI Technical Summary

Problems solved by technology

However, these methods based on target detection are detected by enlarging the image to a certain size, and there are some problems: first, after enlarging the low-resolution image, extracting features from it will lead to unnecessary time consumption; second, If the image is directly sent to the network without enlarging the low-resolution image, a small feature map will be generated in the process of extracting image features, so that the correct detection frame cannot be generated.

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