Target detection system based on super-resolution technology

Abstract

The invention provides a target detection system based on a super-resolution technology. The target detection system comprises: a target image acquisition unit, a super-resolution reconstruction unit, a target detection unit, and an information supervision platform; the target image acquisition unit is used for acquiring image information of a to-be-detected target; the super-resolution reconstruction unit is used for performing super-resolution reconstruction on an input image; the target detection unit is used for detecting the to-be-detected target through a super-resolution target detection model, judging whether a border crossing or intrusion behavior exists or not through a tripwire detection method, and giving an alarm prompt when the border crossing or intrusion behavior exists; the information supervision platform is used for receiving target detection information and the alarm information sent by the target detection unit, visually displaying the detected target and the alarm information, and sending image acquisition control information to the target image acquisition unit. The system is advantageous in that the detection modes are diversified, and users can perform remote intelligent management.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a target detection system based on super-resolution technology. Background technique [0002] With the increasing maturity of monitoring technology, target detection systems are widely used in various industries, such as security monitoring, traffic violation detection, and so on. Due to the low resolution, small targets lack discriminative details and are easily confused with the background, so it is difficult to be detected correctly. The current target detection system directly performs feature extraction and detection and recognition on the target image to be detected, although these algorithms are generally effective. The target detection has excellent detection and recognition ability, but the detection ability in special cases such as low-definition target and small target detection is still slightly insufficient. However, if the super-resolution algorithm is comb...

AI Technical Summary

Problems solved by technology

Due to the low resolution and lack of discriminative details, small targets are easily confused with the background, so it is difficult to be detected correctly. The current target detection system mostly directly performs feature extraction and detection and recognition on the target image to be detected. Although these algorithms are not suitable for general The target detection has excellent detection and recognition ability, but the detection ability in special cases such as low-resolution target and small target detection is still slightly insufficient, but if the super-resolution algorithm is combined with the target detection algorithm, it can be better. To improve the detection ability in special application scenarios, super-resolution technology refers to the process of using algorithms to restore images from low resolution to high resolution, which can enhance the details and local features of images, making recognition more accurate

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