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

IPC: G06K9/38 ,  G06N5/04 ,  G06T7/194 ,  G06K9/32

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.

公开(公告)号：US11263757B2

公开(公告)日：2022-03-01

申请号：US16687582

申请日：2019-11-18

Applicant: VIVOTEK INC.

Inventor： Cheng-Chieh Liu ,  Chia-Wei Chi ,  I-Lun Chen

IPC: G06T7/00 ,  G06T7/194 ,  G06T7/11 ,  G06T7/246

Abstract: An image identifying method is applied to a monitoring camera and a monitoring camera system and used to determine whether a target object is a leaving object or a missing object. The image identifying method includes acquiring a foreground region within a monitoring image corresponding to the target object, analyzing whether the target object inside the foreground region conforms to a variant feature, and comparing the foreground region with a reference image for determining the target object belongs to the leaving object or the missing object when the foreground region does not conform to the variant feature.

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

IPC: G06K9/38 ,  G06K9/32 ,  G06T7/194 ,  G06N5/04

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.