A method for accurate recognition of complex targets based on key region detection

Abstract

The present invention relates to a method for accurately identifying complex targets based on key region detection, including: using cross-training methods to perform fusion training on the entire neural network, using convolutional neural networks to extract target features, and using detection sub-networks with anchor boxes as references Detect the key areas of complex targets, use regional standard pooling to pool the key areas into fixed-size feature maps, use the classification sub-network to classify the key areas, and fuse the classification results of each key area to achieve accurate recognition of the target. The entire network includes a key area detection sub-network and a key area classification sub-network. The detection sub-network detects key areas with a degree of discrimination for complex targets, and then the classification sub-network classifies the key areas. target identification. These two sub-networks share the features extracted by the VGG convolutional neural network, so that the recognition of complex targets can be achieved quickly and accurately.

Description

technical field [0001] The invention relates to image processing technology, in particular to a method for accurately recognizing complex targets based on key region detection. Background technique [0002] The classification and recognition of complex objects is an important and basic task in the field of computer vision. Most of the parts of different types of complex targets are the same or similar, but the differences are often reflected in some key local areas. Therefore, there are a lot of interference and redundant information in the images of complex targets. However, some existing classification and recognition methods for complex targets have the problem of low accuracy because they cannot remove the interference and redundant information in complex target images. In order to achieve accurate classification and recognition of complex targets, it is of great significance to study a method for precise recognition of complex targets based on key region detection. C...

AI Technical Summary

Problems solved by technology

However, some existing classification and recognition methods for complex targets have the problem of low accuracy because they cannot remove the interference and redundant information in complex target images.

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