Action recognition method and device, electronic equipment and storage medium
By identifying the human body area and foreground area in the video frame and determining the area to be identified, the problem of low accuracy of action recognition is solved, and a more efficient and stable action recognition effect is achieved.
CN119649463APending Publication Date: 2025-03-18SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD +1
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Patent Information
- Application Number
- CN202411863780.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
When using artificial intelligence models for action recognition, the targets are dense and the single target is small, resulting in low accuracy of action recognition.
Method used
The human area and foreground area in the video frame are identified based on a pre-trained recognition model, and the areas to be identified are determined in combination with these areas, thereby improving the accuracy of action recognition.
Benefits of technology
This method can improve the accuracy and efficiency of action recognition, reduce the calculation amount, shorten the response time, enhance the system's adaptability to complex scenarios, and improve the stability of the recognition results.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides an action recognition method and device, electronic equipment and a storage medium. The action recognition method comprises the following steps: recognizing human body regions in a plurality of first images based on a pre-trained first recognition model; identifying foreground regions in the plurality of first images based on a second identification model; determining a comprehensive area corresponding to the plurality of first images according to the foreground areas of the plurality of first images; wherein the comprehensive region is used for representing a region containing action information in each first image; determining a to-be-recognized area according to the comprehensive area and the human body area; wherein the to-be-recognized area is used for representing an area containing human body information and action information in each first image; and determining an action recognition result based on the image information of the to-be-recognized area. The invention relates to the technical field of artificial intelligence, and can improve the accuracy of action recognition.
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