OpenCV Detection of Athletes in Long Jumping Videos

DOI

10.2991/icibet.2013.3How to use a DOI?

Abstract

The precise analysis of long jumper’s technical videos can provide the im-portant information for the coaches to formulate the training program. To real-ize the analysis of technical videos, we must firstly detect and track the long jumpers in the video. OpenCV technique (open source computer vision library supported by the Intel company) is pref-erable in the field of image processing. This paper aims to study how to detect the athletes in long jumper’s technical video based on OpenCV technique and provide some technical reference 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  - OpenCV Detection of Athletes in Long Jumping Videos
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 10
EP  - 13
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.3
DO  - 10.2991/icibet.2013.3
ID  - Song2013/03
ER  -