한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
권호 표지
DOI QR코드

DOI QR Code

3D 데이터 기반 영역의 stream data간 공간 mapping 기능 활용 객체 검출 라이브러리에 대한 연구

Research on Object Detection Library Utilizing Spatial Mapping Function Between Stream Data In 3D Data-Based Area

  • 석경휴 (순천대학교 SW중심대학사업단) ;
  • 이소행 (순천대학교 SW중심대학사업단)
  • Gyeong-Hyu Seok (Suncheon National University SW Centered University Project Group) ;
  • So-Haeng Lee
  • 투고 : 2024.01.03
  • 심사 : 2024.06.12
  • 발행 : 2024.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 이동 객체 추출 및 추적 방법 및 장치에 관한 것으로, 특히 인접 영상 간의 차영상을 이용하여 객체를 추출하고, 추출된 객체의 위치정보를 지속적으로 전달함으로써 적어도 하나의 이동 객체의 정확한 위치정보를 토대로 이동 객체를 추적하는 이동 객체 추출 및 추적 방법 및 장치에 관한 것이다. 사람과 컴퓨터의 상호작용의 표현에서 시작된 사람추적은 로봇학습, 객체의 카운팅, 감시 시스템 등의 많은 응용분야에서 사용되고 있으며, 특히 보안 시스템분야에서 카메라를 이용하여 사람을 인식하고 추적하여 위법행위를 자동적으로 찾아낼 수 있는 감시 시스템 개발의 중요성이 나날이 커져 가고 있다.

This study relates to a method and device for extracting and tracking moving objects. In particular, objects are extracted using different images between adjacent images, and the location information of the extracted object is continuously transmitted to provide accurate location information of at least one moving object. It relates to a method and device for extracting and tracking moving objects based on tracking moving objects. People tracking, which started as an expression of the interaction between people and computers, is used in many application fields such as robot learning, object counting, and surveillance systems. In particular, in the field of security systems, cameras are used to recognize and track people to automatically detect illegal activities. The importance of developing a surveillance system, that can detect, is increasing day by day.

키워드

과제정보

본 연구는 2024년도 과학기술정보통신부 및 정보통신기획평가원의 SW중심대학사업 지원을 받아수행되었음. (2023-0-00028)

참고문헌

  1. M. Lew, N. Sebe, C. Djeraba, and R. Jain, "Content-based Multimedia Information Retrieval: State of the Art and Challenges," ACM Trans. Multimedia Computing, Communications, and Applications, vol. 2, no. 1, Feb. 2006, pp. 1-19.
  2. C. Carson, M. Thomas, S. Belongie, J. Hellerstein, and J. M. Malik, "Blobworld: A System for Region-Based Image Indexing and Retrieval," Third Int. Conf. on Visual Information Systems, Berlin Heidelberg, June 1999.
  3. D. Yining and B. Manjunath, "An Efficient Low-Dimensional Color Indexing Scheme for Region-Based Image Retrieval," Proc. of IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Arizona, U.S.A. Mar. 1999, pp. 3017-3020.
  4. E. Hyyoenen, A. Styrman, and S. Saarela, "Ontology-based Image Retrieval," Internet Technology And Secured Transactions, 2012 International Conf., London, U. K., Dec. 2012, pp. 288-293.
  5. J. Shuqiang, H. Tiejun, and G. Wen, "An Ontology based Approach to Retrieval Digitized Art Images," IEEE/WIC/ACM Int. Conf. on Web Intelligence (WI'04), Beijing, China, Sept. 2004, pp. 131-137.
  6. V. Mezaris, I. Kompatsiaris, and M. G. Strintzis, "Region-based Image Retrieval using an Object Ontology and Relevance Feedback," Eurasip J. on applied signal processing, vol. 2004, no. 1, Jan. 2004, pp. 886-901.
  7. S. Kim, Y. Kim, and W. Kim, "The Design of Method for Efficient Processing of Small Files in the Distributed System based on Hadoop Framework," J. of the Korea Institute of Electronic Communication Sciences, vol. 10. no. 10, 2015, pp. 1115-1121.
  8. D. Chai, K. Ban, and E. Kim, "Schema Mapping Method using Frequent Pattern Mining," J. of the Korea Institute of Electronic Communication Sciences, vol. 5. no. 1, 2010, pp. 93-101.
  9. B. Kim, "Words Recommendation Algorithm for Similarity Connection based on Data Transmutability," J. of the Korea Institute of Electronic Communication Sciences, vol. 8. no. 11, 2013, pp. 1719-1724.
  10. Y. Liu, D. Zhang, G. Lu, and W.-Y. Ma, "A survey of content-based image retrieval with high-level semantics," Pattern Recognition, vol. 40, no. 1, Jan. 2007, pp. 262-282.
  11. G. Pass, R. Zabih, and J. Miller, "Comparing images using color coherence vectors," In Proc. ACM Int. Conf. Multimedia, Boston, USA, Feb. 1996.
  12. J. Smith, "Integrated Spatial and Feature Image Systems: Retrieval Analysis and Compression," Ph.D's Thesis, Graduate School of Arts and Sciences, Columbia University, 1997.
  13. M. Tico, T. Haverinen, and P. Kuosmanen, "A Method of Color Histogram Creation for Image Retrieval," Proc. Nordic Signal Processing Symp. (NORSIG'2000), Kolmarden, Sweden, June 2000, pp. 157-160.
  14. S. Sural, G. Qian, and S. Pramanik, "Segmentation and Histogram Generation using The HSV Color Space for Image Retrieval," IEEE Int. Conf. on Image Processing, vol. 2, Sept. 2002, pp. II-589-II-592.
  15. H. Kim and K. Seok, "Domestic radio waves propagate management and control systems investigate the system status," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 1, 2017, pp. 1-8.
  16. W. Choi and K. Seok, "Survey on ways to improve the system in preparation for changes in the radio management system," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 6, 2018, pp. 1145-1154.
  17. J. Yang, K. Seok, and H. Sin, "Technological and Social Significance of the Revision of the Radio Law," J. of the Korea Institute of Electronic Communication Sciences, vol. 14, no. 4, 2019, pp. 627-636.
  18. C. Yeon and K. Seok, "A study on radio wave management regulations in the United States to improve the domestic radio wave management system," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no. 3, 2020, pp. 379-388.
  19. M. Karpiriski, A. Senart, and V. Cahill, "Sensor networks for smart roads," In Proc. IEEE Int. Conf. on Pervasive Computing and Communications Workshops(PERCOMW), Pisa, Italy, Mar. 2006, pp. 1-5.
  20. J. Yang, K. Seok, and M. Kim, "Inter-module interworking evaluation of TDMA-based wireless IP video transmission system," J. of the Korea Institute of Electronic Communication Sciences, vol. 18, no. 1, 2023, pp. 1-10. https://doi.org/10.13067/JKIECS.2023.18.1.1
  21. S. Lee, and K. Seok, "A Study on Machine Learning Algorithms based on Embedded Processors Using Genetic Algorithm," J. of the Korea Institute of Electronic Communication Sciences, vol. 19, no. 2, 2024, pp. 417-426. https://doi.org/10.13067/JKIECS.2024.19.2.417
  22. B. Jung and G. Seok , "A study on 2.4/5GHz dual-band RF design technology," J. of The Korea Institute of Electronic Communication Sciences, vol. 18, no. 2, 2023, pp. 259-268. https://doi.org/10.13067/JKIECS.2023.18.2.259