2020년 컴퓨터종합학술대회
Current Result Document :
| 한글제목(Korean Title) |
비디오 관제시스템에서 배경 감출과 Yolo기반의 이동객체의 탐지 |
| 영문제목(English Title) |
Moving Object Detection in Video Surveillance Based on Background Subtraction and Yolov3 |
| 저자(Author) |
Vandet Pann
Hyo Jong Lee
판반뎃
이효종
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| 원문수록처(Citation) |
VOL 47 NO. 01 PP. 1244 ~ 1246 (2020. 07) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
One of the main functions of a smart surveillance system is to detect the moving objects in the video frame sequence. Moving object detection has become popular in the computer vision researching field. Our study aims to resolve the moving object detection issues in video surveillance by using the background subtraction algorithm and well-known YOLOv3 detection model. The first frame of the video is considered as a referenced background. The background subtraction algorithm is used to find differentiation of the referenced background frame to the current frame, and the YOLOv3 detection model is used to classify moving objects. |
| 키워드(Keyword) |
Moving object detection
video surveillance
YOLO
background subtraction
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| 파일첨부 |
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