Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera Sequence

Kunihiro Hasegawa, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A method for synthesizing the stroboscopic image of a moving sports player from a hand-held camera sequence is proposed. In this method, a player is extracted from each frame of an input video sequence using a HOG-based people detector. After removing the bounding box of the extracted player from each frame, all frames are stitched together to generate a background image without the player. The player's area is then overlaid onto the stitched background image and a stroboscopic image of the player is synthesized. By using the bounding box of the player detected by HOG and by subtracting the images, computational speed and accuracy can be improved compared with the conventional method that segments the player's region. In addition to the stroboscopic image synthesis, we also remove the player's shadow to improve the appearance of the resultant stroboscopic image. Experimental results demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Computer Vision
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages726-733
Number of pages8
Volume2016-February
ISBN (Print)9781467383905
DOIs
Publication statusPublished - 2016 Feb 11
Event15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 - Santiago, Chile
Duration: 2015 Dec 112015 Dec 18

Other

Other15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015
CountryChile
CitySantiago
Period15/12/1115/12/18

Keywords

  • Cameras
  • Feature extraction
  • Image generation
  • Length measurement
  • Position measurement
  • Sensors
  • Video sequences

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera Sequence'. Together they form a unique fingerprint.

  • Cite this

    Hasegawa, K., & Saito, H. (2016). Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera Sequence. In Proceedings of the IEEE International Conference on Computer Vision (Vol. 2016-February, pp. 726-733). [7406448] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2015.99