18035870. Target User Focus Tracking Photographing Method, Electronic Device, and Storage Medium simplified abstract (Huawei Technologies Co., Ltd.)
Target User Focus Tracking Photographing Method, Electronic Device, and Storage Medium
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Target User Focus Tracking Photographing Method, Electronic Device, and Storage Medium - A simplified explanation of the abstract
This abstract first appeared for US patent application 18035870 titled 'Target User Focus Tracking Photographing Method, Electronic Device, and Storage Medium
Simplified Explanation
The abstract describes a method for detecting and predicting human poses based on motion reference information and image data. Here is a simplified explanation of the abstract:
- The method starts by obtaining motion reference information.
- It then continuously obtains image data and performs target user detection until a target user is identified in the first image frame.
- Based on the first image frame, the method determines the initial human pose of the target user.
- Using the first human pose and the motion reference information, the method predicts a second human pose of the target user.
Potential Applications:
- Motion tracking and analysis in sports training or rehabilitation.
- Gesture recognition for human-computer interaction.
- Pose estimation for virtual reality or augmented reality applications.
- Human pose analysis for surveillance or security systems.
Problems Solved:
- Accurate detection and tracking of target users in image frames.
- Predicting human poses based on limited initial information.
- Handling motion reference information to improve pose estimation.
Benefits:
- Improved accuracy in detecting and tracking target users.
- Efficient prediction of human poses using motion reference information.
- Enhanced applications in various fields such as sports, gaming, and security.
Original Abstract Submitted
In accordance with an embodiment, a method includes: obtaining motion reference information; continuously obtaining image data and performing, based on the image data, target user detection until a target user is determined in a first image frame; determining a first human pose of the target user based on the first image frame; and predicting a second human pose of the target user based on the first human pose and the motion reference information.
