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Posting action gesture recognition and model training method, device and equipment

A gesture recognition and action technology, which is applied in the computer field to improve the recognition efficiency, reduce the low recognition accuracy, and improve the recognition accuracy.

Pending Publication Date: 2022-05-17
JIANGSU MANYUN SOFTWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the problems in the prior art, the purpose of the present invention is to provide a posting gesture recognition and model training method, device and equipment, which can not only greatly improve the recognition efficiency, but also reduce the problem of low recognition accuracy caused by artificial factor interference. Improve recognition accuracy

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  • Posting action gesture recognition and model training method, device and equipment
  • Posting action gesture recognition and model training method, device and equipment
  • Posting action gesture recognition and model training method, device and equipment

Examples

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Embodiment Construction

[0047] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0048] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities ...

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Abstract

The invention provides a posting action gesture recognition and model training method, device and equipment, and the method comprises the steps: extracting image features from a to-be-recognized image through employing at least one convolution layer, and determining at least one object candidate box and the type of a candidate object in the to-be-recognized image according to the image features, and screening a target object box containing a target object from the object candidate box according to the category of the candidate object, wherein the target object is used as a posting action gesture. According to the scheme provided by the invention, the technical means of the gesture recognition model is adopted to automatically learn and recognize the posting behavior, so that the recognition efficiency can be greatly improved, the problem of low recognition precision caused by artificial factor interference can be reduced, and the recognition precision is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a posting action gesture recognition and model training method, device and equipment. Background technique [0002] Posters such as notices, advertisements, slogans, etc. are pasted on walls or boards or other carriers by means of sticking or nailing, and the stickers are used to display information. It is obviously extremely time-consuming and energy-intensive to manually check whether users have posted the corresponding postings, and it also increases the labor cost of the enterprise. At the same time, the accuracy of manual checking needs to be considered. [0003] In view of this, related technologies propose a template matching method based on computer vision, which detects posting behavior by performing information matching on image data based on templates. But the difficulty is that the method must select which feature is the most important in each picture, whic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/20G06V10/764G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2415
Inventor 魏献巍杨慧鑫
Owner JIANGSU MANYUN SOFTWARE TECH CO LTD
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