Target detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a target detection method and device, electronic equipment and a storage medium. The method comprises the steps of determining at least one to-be-detected target object in a to-be-detected image, and obtaining a target template image of each target object; determining the image complexity of each target template image based on the pixel value difference of each pixel point in each target template image; determining a detection threshold corresponding to each target object according to the image complexity; recognizing the to-be-detected image according to the target template image to obtain a plurality of candidate object detection areas of each target object; for each target object, determining a primary object detection area of the target object from the candidate object detection areas according to the similarity between the candidate object detection areas and the target template image and a detection threshold; and determining a target object detection area of the target object from the primarily selected object detection areas. The target detection method and device can adapt to detection scenes with various types of targets, and the target detection accuracy is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a target detection method, device, electronic equipment and storage medium. Background technique [0002] With the development of computer technology, the application of artificial intelligence is becoming more and more extensive. The technology of target detection by means of machine learning based on artificial intelligence has gradually become a mainstream research direction of target detection. The task of target detection is to find out the target of interest from the image, determine their category and location, for example, detect the face, vehicle or building from the image. [0003] In the current related technologies, the deep neural network model can generally be used for target detection, but the deep neural network model requires a large amount of labeled data, and the coordinate data of the target frame is marked on the image sample to train the model. ...

AI Technical Summary

Problems solved by technology

[0003] In the current related technologies, the deep neural network model can generally be used for target detection, but the deep neural network model requires a large amount of labeled data, and the coordinate data of the target frame is marked on the image sample to train the model. High consumption of material resources

[0004] In addition, the template matching method can also be used to calculate the similar

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