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 language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Computer Vision |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 726-733 |
| Number of pages | 8 |
| Volume | 2016-February |
| ISBN (Print) | 9781467383905 |
| DOIs | |
| Publication status | Published - 2016 Feb 11 |
| Event | 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 - Santiago, Chile Duration: 2015 Dec 11 → 2015 Dec 18 |
Other
| Other | 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 |
|---|---|
| Country | Chile |
| City | Santiago |
| Period | 15/12/11 → 15/12/18 |
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Keywords
- Cameras
- Feature extraction
- Image generation
- Length measurement
- Position measurement
- Sensors
- Video sequences
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
Cite this
Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera Sequence. / Hasegawa, Kunihiro; Saito, Hideo.
Proceedings of the IEEE International Conference on Computer Vision. Vol. 2016-February Institute of Electrical and Electronics Engineers Inc., 2016. p. 726-733 7406448.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera Sequence
AU - Hasegawa, Kunihiro
AU - Saito, Hideo
PY - 2016/2/11
Y1 - 2016/2/11
N2 - 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.
AB - 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.
KW - Cameras
KW - Feature extraction
KW - Image generation
KW - Length measurement
KW - Position measurement
KW - Sensors
KW - Video sequences
UR - http://www.scopus.com/inward/record.url?scp=84962003906&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962003906&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2015.99
DO - 10.1109/ICCVW.2015.99
M3 - Conference contribution
AN - SCOPUS:84962003906
SN - 9781467383905
VL - 2016-February
SP - 726
EP - 733
BT - Proceedings of the IEEE International Conference on Computer Vision
PB - Institute of Electrical and Electronics Engineers Inc.
ER -