公开(公告)号：US20200302232A1

公开(公告)日：2020-09-24

申请号：US16827592

申请日：2020-03-23

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert KILICKAYA ,  Efstratios GAVVES ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06K9/62 ,  G06N3/08

Abstract: A method for processing an image is presented. The method locates a subject and an object of a subject-object interaction in the image. The method determines relative weights of the subject, the object, and a context region for classification. The method further classifies the subject-object interaction based on a classification of a weighted representation of the subject, a weighted representation of the object, and a weighted representation of the context region.

公开(公告)号：US20240233365A9

公开(公告)日：2024-07-11

申请号：US17769269

申请日：2020-11-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert KILICKAYA ,  Noureldien Mahmoud Elsayed HUSSEIN ,  Efstratios GAVVES ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06V20/52 ,  G06V10/75 ,  G06V10/764 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V20/52 ,  G06V10/751 ,  G06V10/764 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V40/10

Abstract: A method for classifying a human-object interaction includes identifying a human-object interaction in the input. Context features of the input are identified. Each identified context feature is compared with the identified human-object interaction. An importance of the identified context feature is determined for the identified human-object interaction. The context feature is fused with the identified human-object interaction when the importance is greater than a threshold.

公开(公告)号：US20240135712A1

公开(公告)日：2024-04-25

申请号：US17769269

申请日：2020-11-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert KILICKAYA ,  Noureldien Mahmoud Elsayed HUSSEIN ,  Efstratios GAVVES ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06V20/52 ,  G06V10/75 ,  G06V10/764 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V20/52 ,  G06V10/751 ,  G06V10/764 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V40/10

Abstract: A method for classifying a human-object interaction includes identifying a human-object interaction in the input. Context features of the input are identified. Each identified context feature is compared with the identified human-object interaction. An importance of the identified context feature is determined for the identified human-object interaction. The context feature is fused with the identified human-object interaction when the importance is greater than a threshold.

公开(公告)号：US20220414371A1

公开(公告)日：2022-12-29

申请号：US17359379

申请日：2021-06-25

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert KILICKAYA ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06K9/00 ,  G06K9/62

Abstract: A method for human-object interaction detection includes receiving an image. A set of features are extracted from multiple positions of the image. One or more human-object pairs may be predicted based on the extracted set of features. A human-object interaction may be determined based on a set of candidate interactions and the predicted human-object pairs.