TY - GEN
T1 - Stroboscopic Image Synthesis of Sports Player from Hand-Held Camera Sequence
AU - Hasegawa, Kunihiro
AU - Saito, Hideo
N1 - Publisher Copyright:
© 2015 IEEE.
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
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U2 - 10.1109/ICCVW.2015.99
DO - 10.1109/ICCVW.2015.99
M3 - Conference contribution
AN - SCOPUS:84962003906
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 726
EP - 733
BT - Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015
Y2 - 11 December 2015 through 18 December 2015
ER -