Accuracy of Gradient-Based Optical Flow Estimation in High-Frame-Rate Video Analysis

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著者

    • CHEN Lei
    • the Robotics Laboratory, Graduate School of Engineering, Hiroshima University
    • TAKAKI Takeshi
    • the Robotics Laboratory, Graduate School of Engineering, Hiroshima University
    • ISHII Idaku
    • the Robotics Laboratory, Graduate School of Engineering, Hiroshima University

抄録

This study investigates the effect of frame intervals on the accuracy of the Lucas-Kanade optical flow estimates for high-frame-rate (HFR) videos, with a view to realizing accurate HFR-video-based optical flow estimation. For 512×512 pixels videos of patterned objects moving at different speeds and captured at 1000frames per second, the averages and standard deviations of the estimated optical flows were determined as accuracy measures for frame intervals of 1-40ms. The results showed that the accuracy was highest when the displacement between frames was around 0.6pixel/frame. This common property indicates that accurate optical flow estimation for HFR videos can be realized by varying frame intervals according to the motion field: a small frame interval for high-speed objects and a large frame interval for low-speed objects.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 95(4), 1130-1141, 2012-04-01

    The Institute of Electronics, Information and Communication Engineers

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各種コード

  • NII論文ID(NAID)
    10030942254
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
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