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The Institute of Electronics and Information Engineers (대한전자공학회)
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무인비행체 임베디드 조난자 탐지 시스템

  • 황성주 (UNIST 전기전자컴퓨터공학부) ;
  • 한문수 (UNIST 전기전자컴퓨터공학부) ;
  • 박준현 (UNIST 전기전자컴퓨터공학부) ;
  • 이정관 (UNIST 전기전자컴퓨터공학부) ;
  • Published : 2017.08.25
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Abstract

Keywords

References

  1. Redmon, Joseph, et al. "You only look once: Unified, realtime object detection." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
  2. Redmon, Joseph, and Ali Farhadi. "YOLO9000: better, faster, stronger." arXiv preprint arXiv:1612.08242 (2016).
  3. Liu, Wei, et al. "Ssd: Single shot multibox detector." arXiv preprint arXiv:1512.02325 (2015).
  4. Ren, Shaoqing, et al. "Faster R-CNN: Towards real-time object detection with region proposal networks." Advances in neural information processing systems. 2015.
  5. Henriques, Joao, et al. "Exploiting the circulant structure of tracking-by-detection with kernels." Computer Vision-ECCV 2012 (2012): 702-715.
  6. Henriques, Joao F., et al. "High-speed tracking with kernelized correlation filters." IEEE Transactions on Pattern Analysis and Machine Intelligence 37.3 (2015): 583-596. https://doi.org/10.1109/TPAMI.2014.2345390
  7. Kuznetsova, Alina, and Sung Ju Hwang. "Incremental learning framework for object detection in videos." U.S. Patent Application No. 14/887,141.
  8. Kuznetsova, Alina, et al. "Expanding Object Detector's HORIZON: Incremental Learning Framework for Object Detection in Videos (supplementary materials)."
  9. Felsberg M. et al. (2016) The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. I16 Workshops. ECCV 2016. Lecture Notes in Computer Science, vol 9914. Springer, Cham
  10. A. Robicquet, A. Sadeghian, A. Alahi, S. Savarese, Learning Social Etiquette: Human Trajectory Prediction In Crowded Scenes in European Conference on Computer Vision (ECCV), 2016.
  11. Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic and Song-Chun Zhu. Joint inference of groups, events and human roles in aerial videos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  12. Donahue, Jeffrey, et al. "Long-term recurrent convolutional networks for visual recognition and description." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.
  13. Pan, Pingbo, et al. "Hierarchical recurrent neural encoder for video representation with application to captioning." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
  14. Shetty, Rakshith, and Jorma Laaksonen. "Video captioning with recurrent networks based on frame-and video-level features and visual content classification." arXiv preprint arXiv:1512.02949 (2015).