公开(公告)号：US10977482B2

公开(公告)日：2021-04-13

申请号：US16525509

申请日：2019-07-29

Applicant: VIVOTEK INC.

Inventor： Kuan-Yu Lin ,  Chun-Yi Wu ,  Sheng-Yuan Chen

IPC: G06K9/00

Abstract: An object attribution analyzing method applied to an object attribution analyzing device and includes dividing a plurality of continuous frames into a current frame and several previous frames, utilizing face detection to track and compute a first attribution predicted value of an object within the current frame, utilizing the face detection to acquire a feature parameter of the object within the current frame for setting a first weighting, acquiring a second attribution predicted value of the object within the several previous frames, setting a second weighting in accordance with the first weighting, and generating a first induction attribution predicted value of the object within the plurality of continuous frames via the first attribution predicted value weighted by the first weighting and the second attribution predicted value weighted by the second weighting.

公开(公告)号：US20200051284A1

公开(公告)日：2020-02-13

申请号：US16525509

申请日：2019-07-29

Applicant: VIVOTEK INC.

Inventor： Kuan-Yu Lin ,  Chun-Yi Wu ,  Sheng-Yuan Chen

IPC: G06T7/00 ,  G06T7/174 ,  G06T7/11 ,  G06K9/00

Abstract: An object attribution analyzing method applied to an object attribution analyzing device and includes dividing a plurality of continuous frames into a current frame and several previous frames, utilizing face detection to track and compute a first attribution predicted value of an object within the current frame, utilizing the face detection to acquire a feature parameter of the object within the current frame for setting a first weighting, acquiring a second attribution predicted value of the object within the several previous frames, setting a second weighting in accordance with the first weighting, and generating a first induction attribution predicted value of the object within the plurality of continuous frames via the first attribution predicted value weighted by the first weighting and the second attribution predicted value weighted by the second weighting.