公开(公告)号：US20200242424A1

公开(公告)日：2020-07-30

申请号：US16849015

申请日：2020-04-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Biao WANG ,  Chao ZHANG ,  Changkyu CHOI ,  Deheng QIAN ,  Jae-Joon HAN ,  Jingtao XU ,  Hao FENG

IPC: G06K9/66 ,  G06N3/04 ,  G06N3/08 ,  G06K9/62 ,  G06K9/42

Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.

公开(公告)号：US20180157938A1

公开(公告)日：2018-06-07

申请号：US15825951

申请日：2017-11-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Biao WANG ,  Chao ZHANG ,  Changkyu CHOI ,  Deheng QIAN ,  Jae-Joon HAN ,  Jingtao XU ,  Hao FENG

IPC: G06K9/66 ,  G06N3/04 ,  G06N3/08 ,  G06K9/62 ,  G06K9/42

CPC classification number: G06K9/66 ,  G06K9/42 ,  G06K9/6282 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/08 ,  G06N3/084

Abstract: A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.

公开(公告)号：US20180157899A1

公开(公告)日：2018-06-07

申请号：US15833224

申请日：2017-12-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jingtao XU ,  Biao WANG ,  Yaozu AN ,  ByungIn YOO ,  Changkyu CHOI ,  Deheng QIAN ,  Jae-Joon HAN

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/03 ,  G06K9/66 ,  G06N3/08

Abstract: A method of detecting a target includes determining a quality type of a target image captured using a camera, determining a convolutional neural network of a quality type corresponding to the quality type of the target image in a database comprising convolutional neural networks, determining a detection value of the target image based on the convolutional neural network of the corresponding quality type, and determining whether a target in the target image is a true target based on the detection value of the target image.