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Consumer Sleep Technology
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Application US20190122038
Published 2019-04-25
Image Detection Method And Image Detection Device For Determining Posture Of A User
An image detection method for determining the posture of a user includes: obtaining a reference image of the user in a region of interest (ROI); obtaining a test image of user at the ROI; executing a feature matching analysis of the test image which compares the feature parameter of the test image and the feature parameter of the reference image to determine the similarity information of the test image and the reference image; and executing a pixel distribution analysis of the test image to obtain user pixel distribution information; and determining the posture of the user based on the user similarity information and the user pixel distribution information.
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- 1. An image detection method for determining a posture of a user, comprising:
obtaining a reference image of a user in a region of interest (ROI); obtaining a test image of the user in the ROI; executing a feature matching analysis on a feature parameter of the test image and a feature parameter of the reference image to obtain user similarity information of the test image and the reference image; executing a pixel distribution analysis for the test image to obtain user pixel distribution information; and determining the posture of the user based on the user similarity information and the user pixel distribution information.
- 11. An image detection device, comprising:
a sensor, configured to detect a test image and a reference image of a user in a region of interest (ROI); and a processor, comprising:
a feature matching module, configured to execute a feature matching analysis of a feature parameter of the test image and a feature parameter of the reference image to obtain user similarity information of the test image and the reference image, and execute a pixel distribution analysis for the test image to obtain user pixel distribution information; and
a determination module, configured to determine a posture of the user based on the user similarity information and the user pixel distribution information.
