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公开(公告)号:US10593059B1
公开(公告)日:2020-03-17
申请号:US16188314
申请日:2018-11-13
Applicant: VIVOTEK INC.
Inventor: Cheng-Chieh Liu , Fu-Min Wang
Abstract: An object location estimating method with a timestamp alignment function is applied to an object location estimating device. The object location estimating method includes acquiring a plurality of first frames from a first camera, setting a first predetermined point of time, defining a first previous frame and a first next frame closest to the first predetermined point of time from the plurality of first frames, acquiring a first previous coordinate value of an object within the first previous frame and a first next coordinate value of the object within the first next frame, and utilizing the first previous coordinate value and the first next coordinate value to compute a first estimation coordinate value of the object at the first predetermined point of time.
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公开(公告)号:US20200160085A1
公开(公告)日:2020-05-21
申请号:US16197361
申请日:2018-11-21
Applicant: VIVOTEK INC.
Inventor: Cheng-Chieh Liu , Chia-Po Wei , Fu-Min Wang , Chia-Wei Chi
Abstract: A convolutional neutral network identification efficiency increasing method is applied to a related device. The convolutional neutral network identification efficiency increasing method includes analyzing an input image to acquire foreground information, utilizing the foreground information to generate a foreground mask, and transforming the input image into an output image via the foreground mask. The output image is used to be an input of the convolutional neutral network identification for preferred object identification efficiency.
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公开(公告)号:US10769478B2
公开(公告)日:2020-09-08
申请号:US16197361
申请日:2018-11-21
Applicant: VIVOTEK INC.
Inventor: Cheng-Chieh Liu , Chia-Po Wei , Fu-Min Wang , Chia-Wei Chi
Abstract: A convolutional neutral network identification efficiency increasing method is applied to a related device. The convolutional neutral network identification efficiency increasing method includes analyzing an input image to acquire foreground information, utilizing the foreground information to generate a foreground mask, and transforming the input image into an output image via the foreground mask. The output image is used to be an input of the convolutional neutral network identification for preferred object identification efficiency.
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公开(公告)号:US20220415055A1
公开(公告)日:2022-12-29
申请号:US17851060
申请日:2022-06-28
Applicant: VIVOTEK INC.
Inventor: Cheng-Chieh Liu , Shun-Hsun Yu , Fu-Min Wang
Abstract: An image identification method is applied to an image surveillance apparatus and includes utilizing an object detecting function to generate a first bounding box and a second bounding box within a surveillance image, utilizing a foreground detecting function to generate a plurality of markers within the surveillance image, defining some of the plurality of markers which conform to the first bounding box as a first marker group and further defining other markers which do not conform to the first bounding box as a second marker group, determining whether the second marker group conforms to the second bounding box, and deciding whether the second bounding box belongs to an error of the object detecting function in accordance with a determination result.
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