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Person attribute recognition method, device, equipment and medium

An attribute recognition and character technology, applied in the field of deep learning, can solve the problem of poor color recognition effect of characters, and achieve the effect of improving recognition accuracy, reducing complexity, and increasing the number of people.

Active Publication Date: 2021-05-28
长沙海信智能系统研究院有限公司
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Problems solved by technology

[0003] The embodiment of the present application provides a method, device, equipment, and medium for character attribute recognition to solve the problem of poor recognition of character color in the prior art

Method used

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  • Person attribute recognition method, device, equipment and medium
  • Person attribute recognition method, device, equipment and medium
  • Person attribute recognition method, device, equipment and medium

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Embodiment Construction

[0026] The characteristics and exemplary embodiments of various aspects of the application will be described in detail below. In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only intended to explain the present application rather than limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0027] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and d...

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Abstract

The application discloses a person attribute recognition method, device, equipment and medium. Wherein, the character attribute recognition method includes: acquiring a target image, and the target image includes a plurality of first objects; inputting the target image into the trained target character attribute recognition model to obtain the attribute recognition result of each first object; wherein, the target The character attribute recognition model includes an object backbone network module, an object attribute location module, and a first object classification module; the first object classification module can identify color attribute categories of different first objects through weight sharing. The embodiment of the present application reduces the complexity of the network framework of the target person attribute recognition model, can effectively improve the recognition accuracy of the target person attribute recognition model for color attributes, and improve the recognition effect of color attributes.

Description

technical field [0001] The present application belongs to the technical field of deep learning, and in particular relates to a character attribute recognition method, device, equipment and medium. Background technique [0002] With the continuous development of deep learning, the application of computer vision is becoming more and more extensive; the recognition of people based on computer vision is helpful to realize functions such as missing person search, person tracking or security protection. In many cases, the recognition of character color is of great significance to the recognition of character identity; however, due to the influence of factors such as the diversity of character clothing, the colors corresponding to different body parts of the same character may be different, which easily leads to the identification of character color. The recognition effect is poor. Contents of the invention [0003] Embodiments of the present application provide a method, device...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/103G06V20/46G06V10/56G06F18/214
Inventor 吴婷闾凡兵牟三钢曾海文
Owner 长沙海信智能系统研究院有限公司
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