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1. WO2020096111 - DEEP LEARNING-BASED ABNORMAL BEHAVIOR RECOGNITION DEVICE AND METHOD

Publication Number WO/2020/096111
Publication Date 14.05.2020
International Application No. PCT/KR2018/013948
International Filing Date 15.11.2018
IPC
G06K 9/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06N 3/08 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06T 7/50 2017.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
50Depth or shape recovery
G08B 21/18 2006.01
GPHYSICS
08SIGNALLING
BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
21Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
18Status alarms
Applicants
  • 전자부품연구원 KOREA ELECTRONICS TECHNOLOGY INSTITUTE [KR]/[KR]
Inventors
  • 김동칠 KIM, Dong Chil
  • 박성주 PARK, Sung Joo
Agents
  • 특허법인 지명 JIMYUNG PATENT FIRM
Priority Data
10-2018-013624308.11.2018KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) DEEP LEARNING-BASED ABNORMAL BEHAVIOR RECOGNITION DEVICE AND METHOD
(FR) DISPOSITIF ET PROCÉDÉ DE RECONNAISSANCE DE COMPORTEMENT ANORMAL BASÉS SUR UN APPRENTISSAGE PROFOND
(KO) 딥러닝 기반 이상 행위 인지 장치 및 방법
Abstract
(EN)
The present invention relates to a device for recognizing abnormal behavior on the basis of deep learning, and a method therefor. A deep learning-based abnormal behavior recognition device according to the present invention comprises: an image receiving unit for receiving a 3D image; a memory in which a program for analyzing the 3D image so as to determine the presence of abnormal behavior is stored; and a processor for executing the program, wherein the processor for performing a spatio-temporal image data analysis, using deep learning, on the 3D image, thereby generating an abnormal behavior recognition model, and estimates abnormal behavior.
(FR)
La présente invention concerne un dispositif de reconnaissance de comportement anormal sur la base d'un apprentissage profond et un procédé pour cela. Un dispositif de reconnaissance de comportement anormal basé sur un apprentissage profond selon la présente invention comprend : une unité de réception d'image pour recevoir une image 3D ; une mémoire dans laquelle un programme pour analyser l'image 3D de façon à déterminer la présence d'un comportement anormal est mémorisé ; et un processeur pour exécuter le programme, le processeur pour effectuer une analyse de données d'image spatio-temporelle, à l'aide d'un apprentissage profond, sur l'image 3D, générant ainsi un modèle de reconnaissance de comportement anormal, et estimant un comportement anormal.
(KO)
본 발명은 딥러닝을 기반으로 이상 행위를 인지하는 장치 및 그 방법에 관한 것이다. 본 발명에 따른 딥러닝 기반 이상 행위 인지 장치는 3D 영상을 수신하는 영상 수신부와, 3D 영상을 분석하여 이상 행위 여부를 판단하는 프로그램이 저장된 메모리 및 프로그램을 실행시키는 프로세서를 포함하고, 프로세서는 3D 영상에 대해 딥러닝을 이용한 시공간 영상데이터 분석을 수행하여 이상 행위 인지 모델을 생성하고, 이상 행위를 추정하는 것을 특징으로 한다.
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