최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국전자통신학회 논문지 = The Journal of the Korea Institute of Electronic Communication Sciences, v.17 no.1, 2022년, pp.91 - 98
김보람 (부경대학교 공간정보시스템공학과) , 임윤교 (부경대학교 공간정보시스템공학과) , 신실 (부경대학교 공간정보시스템공학과) , 이진혁 (부경대학교 공간정보시스템공학과) , 추성원 (부경대학교 공간정보시스템공학과) , 김나경 (부경대학교 공간정보시스템공학과) , 박미소 (부경대학교 공간정보시스템공학과) , 윤홍주 (부경대학교 공간정보시스템공학과)
In this study, Pukyong National University's floating population survey and analysis were conducted using Raspberry Pie, an open source hardware, and object detection algorithms based on deep learning technology. After collecting images using Raspberry Pie, the person detection of the collected imag...
Y. Jeong and T. Moon, "Analysis of Seoul Urban Spatial Structure Using Pedestrian Flow Data - Comparative Study with '2030 Seoul Plan'," J. of The Korean Regional Development Association, vol 26, no. 3, Sept. 2014, pp. 139-158.
H. Kim, "Inference population using night floating population," KOREAN SOCIETY OF CIVIL ENGINEERS, Oct. 2015, pp. 29-30.
M. Byun and U. Seo, "How to Measure Daytime Population in Urban Streets?: Case of Seoul Pedestrian Flow Survey," The Korean Association for Survey Research, J. Survey Research, vol. 42, no. 2, 2011, pp. 27-50.
H. Lee, J. Lee, M. Kim, H. Nam, H. Mun, and Y. Lee "Measurement the Floating Population of the University Using Raspberry pi," Conf. The Korean Institute of Information Scientists and Engineers, Jeju, Korea, Dec. 2017, pp. 2092-2094.
S. Yang, "Implementation of Fire Detection System Using Raspberry Pi-based SSD," Master's Thesis, Graduate School of Korea Maritime University, 2020.
D. Jeong, T. Jung, and T. Im "Deep learning-based ship object detection and recognition using Raspberry Pi," Conf. Korea Institute Of Communication Sciences, Pyeongchang, Korea, Feb. 2020, pp. 1059-1060.
S. Kim, M. Lee, and H. Yoe, "Design of the Pest Recognition System using Raspberry Pi," J. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 8, no. 11, Nov. 2018, pp. 941-953.
Z. Lin and C. Kim, "Development of Smart Mirror System based on the Raspberry Pi," J. of the KIECS, vol 16, no. 2, Apr. 2021, pp. 379-384.
D. Lee, S. Lee, R. Hwan, and I. Hyuk, "Door Surveillance system using the Raspberry Pi," Proc. of Symp of the Korean Institute of communications and Information Sciences, seoul, korea, Nov. 2015, pp. 424-425.
H. Kim, H. You, and J. Chang, "Development of Realtime Pet Monitoring System by using Raspberry Pi," The Korean Institute of Information Scientists and Engineers, Pyeongchang, korea, Dec. 2016, pp. 1543-1545.
P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," Proc. of IEEE Computer Society Conf. On Computer Vision and Pattern Recognition, vol. 1, 2001, pp. 511-518.
J. Kim and E. Kim, "Face Recognition and Temperature Measurement Access Control System using Machine Learning," J. of the KIECS, vol 16, no. 1, Feb. 2021, pp. 197-202.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.