Motion-blur-free video shooting system based on frame-by-frame intermittent tracking

被引:6
|
作者
Inoue M. [1 ]
Jiang M. [1 ]
Matsumoto Y. [1 ]
Takaki T. [1 ]
Ishii I. [1 ]
机构
[1] Department of System Cybernetics, Hiroshima University, Higashi-Hiroshima
来源
Ishii, Idaku (iishii@robotics.hiroshima-u.ac.jp) | 1600年 / Springer International Publishing卷 / 04期
基金
日本科学技术振兴机构;
关键词
Active vision; High-speed vision; Motion deblurring; Target tracking;
D O I
10.1186/s40648-017-0096-0
中图分类号
学科分类号
摘要
In this paper, a concept of frame-by-frame intermittent tracking to achieve motion-blur-free and high-brightness images when video shooting fast moving scenes is proposed. In our tracking concept, two control methods are applied alternately at hundreds of hertz, according to the open or closed shutter state of the camera. When the shutter is open, the target’s speed in images is controlled at zero and visual feedback is transmitted to achieve motion blur reduction, and when the shutter is closed, the camera returns to its home position. We developed a prototype of our motion-blur-free video shooting system, which consists of our tracking method implemented on a high-speed two degrees-of-freedom tracking vision platform that controls the pan and tilt directions of the camera view by using high-speed video processing in order to reduce motion blur. Our motion-blur-free video shooting system can capture gray-level 512 × 512 images at 125 fps with frame-by-frame intermittent tracking. Its performance is verified by the experimental results for several video sequences of fast moving objects. In the experiments, without a decrease in the exposure times our method reduced image degradation caused by motion blur. © 2017, The Author(s).
引用
收藏
相关论文
共 50 条
  • [1] Motion-blur-free Microscopic Video Shooting Based on Frame-by-frame Intermittent Tracking
    Ueno, Takahiro
    Gu, Qingyi
    Aoyama, Tadayoshi
    Takaki, Takeshi
    Ishii, Idaku
    Kawahara, Tomohiro
    [J]. 2015 INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2015, : 837 - 842
  • [2] An Intermittent Frame-by-frame Tracking Camera for Motion-blur-free Video Shooting
    Inoue, Michiaki
    Gu, Qingyi
    Aoyama, Tadayoshi
    Takaki, Takeshi
    Ishii, Idaku
    [J]. 2015 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2015, : 241 - 246
  • [3] Motion-blur-free High-speed Video Shooting with Frame-timing Control
    Inoue, Michiaki
    Gu, Qingyi
    Jiang, Mingjun
    Takaki, Takeshi
    Ishii, Idaku
    Tajima, Kenji
    [J]. 2018 12TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2018, : 172 - 177
  • [4] Motion-Blur-Free High-Frame-Rate Vision System with Frame-by-Frame Visual-Feedback Control for a Resonant Mirror
    Inoue, Michiaki
    Raut, Sushil
    Takaki, Takeshi
    Ishii, Idaku
    Tajima, Kenji
    [J]. 2020 THE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS'2020), 2020, : 35 - 40
  • [5] Motion-Blur-Free High-Speed Video Shooting Using a Resonant Mirror
    Inoue, Michiaki
    Gu, Qingyi
    Jiang, Mingjun
    Takaki, Takeshi
    Ishii, Idaku
    Tajima, Kenji
    [J]. SENSORS, 2017, 17 (11):
  • [6] Omnidirectional Panoramic Video System With Frame-by-Frame Ultrafast Viewpoint Control
    Hu, Shaopeng
    Dong, Hongyu
    Shimasaki, Kohei
    Jiang, Mingjun
    Senoo, Taku
    Ishii, Idaku
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02): : 4086 - 4093
  • [7] Motion-blur-free camera system splitting exposure time
    Choi, Byeong-Doo
    Jung, Seung-Won
    Ko, Sung-Jea
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2008, 54 (03) : 981 - 986
  • [8] A Hierarchical Frame-by-Frame Association Method Based on Graph Matching for Multi-object Tracking
    Garg, Sourav
    Hassan, Ehtesham
    Kumar, Swagat
    Guha, Prithwijit
    [J]. ADVANCES IN VISUAL COMPUTING, PT I (ISVC 2015), 2015, 9474 : 138 - 150
  • [9] Reliability of Distal Upper Extremity Posture Matching Using Slow-Motion and Frame-by-Frame Video Methods
    Kociolek, Aaron M.
    Keir, Peter J.
    [J]. HUMAN FACTORS, 2010, 52 (03) : 441 - 455
  • [10] Frame-by-frame 3D catheter tracking methods for an inverse geometry cardiac interventional system
    Speidel, Michael A.
    Lowell, Augustus P.
    Heanue, Joseph A.
    Van Lysel, Michael S.
    [J]. MEDICAL IMAGING 2008: PHYSICS OF MEDICAL IMAGING, PTS 1-3, 2008, 6913