A method and system for target detection

Abstract

The invention discloses a target detection method and system, wherein the method includes: classifying sample images by initial size, determining the number of convolutional layers in the network structure according to the number of classifications in the clustering results, so as to determine the feature extraction network; Detect image input feature extraction network to determine feature maps of different sizes; input each feature map into region generation network to generate corresponding candidate region feature maps; determine target region feature maps according to each feature map and corresponding candidate region feature maps; Classify and detect the feature map of the target area to determine the target detection result. The invention realizes the detection of small target objects, adapts to target objects of different sizes, effectively improves the extraction accuracy of bottom layer detail information, realizes classification and position regression of multi-scale feature maps, and effectively improves the accuracy of target objects of various sizes. The detection accuracy is especially effective in alleviating the problems of missed detection and false detection of small target objects.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a target detection method and system. Background technique [0002] Object detection is a very important direction in the field of computer vision research, and is the basis of many computer vision applications. In recent years, with the rapid development of deep learning technology, object detection algorithms have also shifted from traditional algorithms based on manual features to deep neural networks. Network detection technology. Although the current object detection algorithm has greatly improved the accuracy of object detection, due to the predetermined size and number of anchor frames in the existing object detection algorithm, it usually cannot effectively cover target objects of different sizes, especially small-sized targets. As a result, the missed detection and false detection of the target are caused. Contents of the invention [0003] In view of this, the embodim...

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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a method and system for target detection, which solves the problem of missing and wrong detection of targets in the prior art because the size and number of anchor frames are predetermined and cannot cover target objects of different sizes. inspection problem

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