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公开(公告)号：US20200333451A1
公开(公告)日：2020-10-22
申请号：US16387522
申请日：2019-04-17
Applicant: MEDIATEK INC.
Inventor： Li-Ming Wei , Chia-Yu Lin , Chih-Ming Hung
Abstract: An object detection method includes: obtaining a first offset value and a second offset value, setting a first detection threshold value by adding the first offset value to a first reference threshold value, setting a second detection threshold value by adding the second offset value to a second reference threshold value, obtaining a detection input, and performing target detection upon the detection input according to at least the first detection threshold value and the second detection threshold value. The first offset value is different from the second offset value. The first reference threshold value is determined for detecting if at least one object with a first value of an object characteristic exists. The second reference threshold value is determined for detecting if at least one object with a second value of the object characteristic exists. The second value is different from the first value.
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公开(公告)号：US20190339362A1
公开(公告)日：2019-11-07
申请号：US16402173
申请日：2019-05-02
Applicant: MEDIATEK INC.
Inventor： Po-Chung Hsiao , Bao-Chi Peng , Li-Ming Wei
Abstract: An object detection method includes: obtaining sensor detection inputs generated at different positions and different timestamps for a swept area of object detection, where each of the sensor detection input is generated at one of the different locations and one of the different timestamps; collecting spatio-temporal data according to the sensor detection inputs; stitching the spatio-temporal data to generate a spatio-temporal image; performing signature extraction upon the spatio-temporal image to generate a signature extraction result; and identifying a contour of the swept area according to the signature extraction result.
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公开(公告)号：US11500084B2
公开(公告)日：2022-11-15
申请号：US16387522
申请日：2019-04-17
Applicant: MEDIATEK INC.
Inventor： Li-Ming Wei , Chia-Yu Lin , Chih-Ming Hung
Abstract: An object detection method includes: obtaining a first offset value and a second offset value, setting a first detection threshold value by adding the first offset value to a first reference threshold value, setting a second detection threshold value by adding the second offset value to a second reference threshold value, obtaining a detection input, and performing target detection upon the detection input according to at least the first detection threshold value and the second detection threshold value. The first offset value is different from the second offset value. The first reference threshold value is determined for detecting if at least one object with a first value of an object characteristic exists. The second reference threshold value is determined for detecting if at least one object with a second value of the object characteristic exists. The second value is different from the first value.
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