Tracking Technique for Athletes in Skilled Video

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (ICCSEE 2013)
PB  - Atlantis Press
SP  - 678
EP  - 680
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.172
DO  - 10.2991/iccsee.2013.172
ID  - Song2013/03
ER  -