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Target identification method and device

A target recognition and to-be-recognized technology, applied in the field of image recognition, can solve problems such as low accuracy and recall, and achieve the effect of improving accuracy and recall.

Pending Publication Date: 2021-10-01
NAVINFO
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, in the existing technology, when using the existing Cascade_RCNN target detection model to detect small targets, the detection accuracy and recall rate are low

Method used

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  • Target identification method and device

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Embodiment Construction

[0075] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0076] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circums...

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Abstract

The invention provides a target recognition method and device, and the method comprises the steps that: a to-be-recognized image or a to-be-recognized video is obtained; and target object identification is carried out on a to-be-identified image or a to-be-identified video through a preset target detection network model to obtain an identification result, wherein a network structure of the target detection network model comprises a backbone network, a guide anchor generation network GA-RPN, an RoI Align and BBoxHead, an output of the backbone network is connected with an input of the GA-RPN and an input of the RoI Align, the output of the GA-RPN is connected with the input of the RoI Align, and the output of the RoI Align is connected with the input of the BBoxHead, so that the accuracy and recall rate of target image recognition are improved.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to an object recognition method and device. Background technique [0002] Target detection has always been a hot spot in the field of image processing, especially for the detection of small targets with high robustness, high accuracy and high real-time performance, which has important application value. For example, for the recognition of signboards on the road, on the one hand, the detection and recognition of small targets is required to have high reliability, especially for small targets at a long distance, which requires high detection accuracy and recall; on the other hand, for image information The processing time should be as short as possible to ensure high real-time performance. [0003] In the prior art, the target detection method based on deep learning is usually adopted. The target detection based on deep learning can be expressed as: deep feature e...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06F18/214
Inventor 蔚勇
Owner NAVINFO
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