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Target identification method and device based on YOLO network

A target recognition and network technology, applied in the computer field, can solve problems such as poor robustness, large influence, and long detection time, and achieve the goal of improving recognition accuracy and robustness, enhancing feature expression ability, and enriching visual context dependencies Effect

Pending Publication Date: 2021-02-09
GOERTEK INC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Target recognition in a complex background, especially for small action recognition of small targets in a complex background, the target is greatly affected by the external environment, using the existing technology based on artificial feature design and classification by classifiers to achieve target recognition The scheme has the defects of poor robustness and long detection time

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  • Target identification method and device based on YOLO network
  • Target identification method and device based on YOLO network
  • Target identification method and device based on YOLO network

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Embodiment Construction

[0023] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0024] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The invention discloses a target identification method and device based on a YOLO network. The method comprises the steps of obtaining an original feature map output by a residual block in a YOLO network model, performing spatial feature fusion on pixel points of the original feature map according to pixel information of the original feature map to obtain a new feature map of the residual block, and inputting the new feature map to a next-level residual block to construct an improved YOLO network; and inputting the to-be-processed image of the target into the improved YOLO network for target identification to obtain a target identification result. The device comprises a network construction unit and a target identification unit. According to the technical scheme of the invention, the method and device can remarkably improve the recognition accuracy and robustness.

Description

technical field [0001] This application relates to the field of computer technology, in particular to a method and device for object recognition based on YOLO network. Background technique [0002] Object recognition is an important research direction in related fields such as human-computer interaction. Target recognition in a complex background, especially for small action recognition of small targets in a complex background, the target is greatly affected by the external environment, using the existing technology based on artificial feature design and classification by classifiers to achieve target recognition The scheme has the defects of poor robustness and long detection time. Contents of the invention [0003] This application provides a target recognition method and device based on YOLO network to improve the robustness and accuracy of target recognition. [0004] In the first aspect, the application provides a target recognition method based on the YOLO network,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V2201/07G06N3/045G06F18/253
Inventor 冯扬扬
Owner GOERTEK INC