Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
권호 표지
DOI QR코드

DOI QR Code

Image-based Intelligent Surveillance System Using Unmanned Aircraft

무인비행체를 이용한 영상 기반 지능형 순찰 시스템

  • Kim, Do Hyun (School of Computer Science and Electronic Engineering, Handong Global University) ;
  • Kim, Jung Eun (School of Computer Science and Electronic Engineering, Handong Global University) ;
  • Song, Ji Hag (School of Computer Science and Electronic Engineering, Handong Global University) ;
  • Shin, Yong Jun (School of Computer Science and Electronic Engineering, Handong Global University) ;
  • Hwang, Sung Soo (School of Computer Science and Electronic Engineering, Handong Global University)
  • Received : 2016.09.13
  • Accepted : 2016.11.24
  • Published : 2017.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

Necessity of security reinforcement has been increased these days. As a result, surveillance systems using CCTV and the patrol system by person have been applied to security zone. However, CCTV has a blind spot and CCTV itself cannot handle emergency situation. Patrol system by person is economically expensive. To overcome these disadvantages, this paper presents an image-based surveillance system using unmanned aircraft. As a default, unmanned aircraft traces lines installed on ground which represents path for patrolling. If the aircraft detects objects, then it keeps a constant distance between object without missing the object in the image. Simulation results show that the proposed system can be operated even with unmanned aircraft with low specification.

Keywords

References

  1. ADT CAPS Security Drone, http://biz.chosun.com/site/data/html_dir/2015/03/18/ 2015031801667.html (accessed Nov., 07, 2016).
  2. SECOM Drone Surveillance Service, http://www.ciokorea.com/news/27754 (accessed Nov., 07, 2016).
  3. D.Y. Lee, H.S. Jeon, and Y.H. Joo, "Collaborative Tracking Algorithm for Intelligent Video Surveillance Systems Using Multiple Network Cameras," Journal of Korean Institute of Intelligent Systems, Vol. 21, Issue 6, pp. 743-748, 2011. https://doi.org/10.5391/JKIIS.2011.21.6.743
  4. I.S. Kim and H.S. Shin, "A Study on Development of Intelligent CCTV Security System Based on BIM," The Journal of The Korea Institute of Electronic Communication Sciences, Vol. 6, No. 5, pp. 789-795, 2011.
  5. J.S. Kim, J.W. Lee, Y.K. Shin, and W.Y. Lee, "Implementation of the Manless Security System Using a Wireless Exploring Unit," Proceedings of the Korean Information Science Society Conference, pp. 736-738, 2005.
  6. J.H. Park, D.G. Shin, C.K. Woo, H.C. Kim, Y.K. Kwon, and B.W. Choi, "Development of an Intelligent Security Robot System for Home Surveillance," Journal of Institute of Control, Robotics and Systems, Vol. 13, Issue 8, pp. 810-816, 2007. https://doi.org/10.5302/J.ICROS.2007.13.8.810
  7. J.H. Park and K.B. Sim, "A Design of Mobile Robot based on Network Camera and Sound Source Localization for Intelligent Surveillance System," Proceedings of KI IS Fall Conference, pp. 253-256, 2008.
  8. W.E. Dixon, D.M. Dawson, E. Zergeroglu, and A. Behal, "Adaptive Tracking Control of a Wheeled Mobile Robot via an Uncalibrated Camera System," IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, Vol. 31, No. 3, pp. 341-352, 2001. https://doi.org/10.1109/3477.931519
  9. H.S. Shi, H. Park, H.H. Kim, and K.H. Park, "Vision-Based Trajectory Tracking Control System for a Quadrotor-Type UAV in Indoor Environment," The Journal of Korea Information and Communications Society, Vol. 39, No. 1, pp. 47-59, 2014.
  10. S.S. Huh, S.W. Cho, and D.H.C. Shim, "3-D Indoor Navigation and Autonomous Flight of a Micro Aerial Vehicle Using a Low-cost LIDAR," The Journal of Korea Robotics Society, Vol. 9, No. 3, pp. 154-159, 2014. https://doi.org/10.7746/jkros.2014.9.3.154
  11. J.O. Park, Y.M. Kim, and J.K. Lee, "A Study on Moving Object Recognition and Tracking in Unmanned Aerial Camera," Journal of Korea Multimedia Society, Vol. 13, Issue 5, pp. 684-690, 2010.
  12. A. Sanna, F. Lamberti, G. Paravati, and F. Manuri, "A Kinect-based Natural Interface for Quadrotor Control," Entertainment Computing, Vol. 4, Issue 3, pp. 179-186, 2013. https://doi.org/10.1016/j.entcom.2013.01.001
  13. Y. Imamura, S. Okamoto, and J.H. Lee, "Human Tracking by a Multi-rotor Drone Using HOG Features and Linear SVM on Images Captured by a Monocular Camera," Proceedings of the International Multi Conference of Engineers and Computer Scientists, pp. 333-338, 2016.
  14. N. Dalal, and B. Triggs, "Histograms of Oriented Gradients for Human Detection," IEEE Computer Vision and Pattern Recognition, pp. 886-893, 2005.
  15. AR.Drone 2.0, https://www.parrot.com/fr/drones/parrot-ardrone-20-gps-dition#spareparts (accessed Nov., 07, 2016).

Cited by

  1. Anti-interference Methods using Vector-based GPS Receiver Mode vol.21, pp.5, 2017, https://doi.org/10.9717/kmms.2018.21.5.545
  2. Obstacle Avoidance Method for UAVs using Polar Grid vol.23, pp.8, 2020, https://doi.org/10.9717/kmms.2020.23.8.1088