Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Tracking Technique for Athletes in Skilled Video

Authors
Ailing Song, Kai Chen
Corresponding Author
Ailing Song
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.172How to use a DOI?
Keywords
Physical education,video,tracing,algorithm
Abstract
Accurate analysis of athletes’ video is an effective technical way to improve the training effect, and the realization of tracing of athletes in the skilled video is essential for its analysis. Based on OpenCV (open source computer vision library supported by Intel) technology platform, we realize the athletes tracing in the skilled vide using the combination algorithm of Kalman prediction and CamShift tracing. The case application shows that our technical solution is reasonable and feasible, which can provide the valuable references to the related research.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.172How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ailing Song
AU  - Kai Chen
PY  - 2013/03
DA  - 2013/03
TI  - Tracking Technique for Athletes in Skilled Video
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.172
DO  - https://doi.org/10.2991/iccsee.2013.172
ID  - Song2013/03
ER  -