Review of Korean Society for Internet Information (인터넷정보학회지)

Korean Society for Internet Information (한국인터넷정보학회)
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CCTV 영상의 동적 객체 탐지 및 추적 기술 동향

  • Published : 2017.06.30
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Abstract

Keywords

References

  1. R. Rout, "A Survey on Object Detection and Tracking Algorithms," 2013
  2. YUTAKA Sato, S Kaneko, SATORU Igarashi, "Robust object detection and segmentation by peripheral increment sign correlation image," Trans. of the IEICE, 2001.
  3. SS.R.Alvar, M. Abdollahzadeh, H. Seyedarabi, "A novel fast search motion estimation algorithm in video coding ," Industrial Electronics (ISIE), 2015.
  4. Shantaiya, et. al. "Multiple Object Tracking using Kalman Filter and Optical Flow," 2015.
  5. Byoung-Chul Ko, et. al. "Object Tracking Using Particle Filters in Moving Camera," 2012.
  6. Shen, Shan-Chun, Wei-Long Zheng, and Bao-Liang Lu. "Online Object Tracking Based on Depth Image with Sparse Coding." Neural Information Processing. Springer International Publishing, 2014.
  7. Wang, Li, et al. "Video tracking using learned hierarchical features." Image Processing, IEEE Transactions on 24.4, pp. 1424-1435, 2015. https://doi.org/10.1109/TIP.2015.2403231
  8. Choi, Changhyun, and Henrik I. Christensen. "RGB-D object tracking: A particle filter approach on GPU." Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. IEEE, 2013.
  9. Jordt, Andreas, and Reinhard Koch. "Direct model-based tracking of 3d object deformations in depth and color video." International journal of computer vision 102.1-3, pp. 239-255, 2013 https://doi.org/10.1007/s11263-012-0572-1
  10. Seohee Park, Junchul Chun "3D CCTV-based Object Detection and Tracking Using RGB-D Information", The 12th Asia-pacific International Conference on Information Science and Technology(APIC-IST) 2017.