The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 16, 2026

Filed:

Aug. 31, 2023
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Young Il Kim, Daejeon, KR;

Seong Hee Park, Daejeon, KR;

Geon Min Yeo, Daejeon, KR;

Il Woo Lee, Daejeon, KR;

Wun Cheol Jeong, Daejeon, KR;

Tae Wook Heo, Daejeon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/80 (2022.01); G06T 3/60 (2024.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06V 10/806 (2022.01); G06T 3/60 (2013.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/20 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30244 (2013.01);
Abstract

An exemplary embodiment provides an intruder detection method capable of accurately detecting an intruder and estimating an abnormal behavior of the intruder even when viewpoints of acquired images are different from each other. An intruder detection method is suitable for being performed by an intruder detection device for detecting an intruder based on images and includes: receiving input images acquired by multiple cameras; extracting feature maps associated with a plurality of viewpoints by applying the input images to a plurality of convolutional neural networks provided separately for the plurality of viewpoints of the images; and detecting the intruder based on the feature maps associated with the plurality of viewpoints.


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