Method for detecting missing object based on Deep-learning using drone and system for the method

Method for detecting missing object based on Deep-learning using drone and system for the method

The present invention relates to a method for detecting a missing person on the basis of deep learning. According to the present invention, a method for detecting a missing person includes the steps of: receiving an image to be detected; dividing the image to be detected into unit images of a predet...

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Hauptverfasser: KIM HYUNG JUN, KIM HYOUNG BAE, BANG SEUNG ON
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Sprache:eng ; kor
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CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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creator KIM HYUNG JUN
KIM HYOUNG BAE
BANG SEUNG ON
description The present invention relates to a method for detecting a missing person on the basis of deep learning. According to the present invention, a method for detecting a missing person includes the steps of: receiving an image to be detected; dividing the image to be detected into unit images of a predetermined size; and detecting a missing person on the basis of the unit images. The present invention can efficiently detect a missing person within a large screen, and can be utilized for setting a search route for a drone by searching for a missing person on the basis of a trained neural network while displaying a detection result on the basis of unit areas. 본 발명은 딥러닝 기반의 실종자 검출 방법에 관한 것으로 본 발명에 따른 실종자 검출을 수행하는 방법을 검출 대상 이미지를 입력 받는 단계; 상기 검출 대상 이미지를 미리 결정된 크기의 단위 이미지로 분할하는 단계; 및 상기 단위 이미지를 기초로 실종자 검출을 수행하는 단계를 포함한다. 본 발명에 따르면 대화면 내에서 실종자를 효율적으로 검출할 수 있으며, 학습된 신경망을 바탕으로 실종자를 수색함과 동시에 단위 영역을 기준으로 검출 결과를 표시힘으로써 드론의 탐색 경로 설정에 활용할 수 있다.
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According to the present invention, a method for detecting a missing person includes the steps of: receiving an image to be detected; dividing the image to be detected into unit images of a predetermined size; and detecting a missing person on the basis of the unit images. The present invention can efficiently detect a missing person within a large screen, and can be utilized for setting a search route for a drone by searching for a missing person on the basis of a trained neural network while displaying a detection result on the basis of unit areas. 본 발명은 딥러닝 기반의 실종자 검출 방법에 관한 것으로 본 발명에 따른 실종자 검출을 수행하는 방법을 검출 대상 이미지를 입력 받는 단계; 상기 검출 대상 이미지를 미리 결정된 크기의 단위 이미지로 분할하는 단계; 및 상기 단위 이미지를 기초로 실종자 검출을 수행하는 단계를 포함한다. 본 발명에 따르면 대화면 내에서 실종자를 효율적으로 검출할 수 있으며, 학습된 신경망을 바탕으로 실종자를 수색함과 동시에 단위 영역을 기준으로 검출 결과를 표시힘으로써 드론의 탐색 경로 설정에 활용할 수 있다.</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Method for detecting missing object based on Deep-learning using drone and system for the method
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