Human Skeleton Detection from Semi-constrained Environment Video

Palwasha Afsar, Paulo Cortez, Henrique Santos

2017

Abstract

The correct classification of human skeleton from video is a key issue for the recognition of human actions and behavior. In this paper, we present a computational system for a passive detection of human star skeleton from raw video. The overall system is based on two main modules: segmentation and star skeleton detection. For each module, several computer vision methods were adjusted and tested under a comparative analysis that used a challenging video dataset (e.g., different daylight and weather conditions). The obtained results show that our system is capable of detecting human skeletons in most situations.

Paper Citation

in Harvard Style

Afsar P., Cortez P. and Santos H. (2017). Human Skeleton Detection from Semi-constrained Environment Video . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-226-4, pages 384-389. DOI: 10.5220/0006245803840389

in Bibtex Style

@conference{visapp17,
author={Palwasha Afsar and Paulo Cortez and Henrique Santos},
title={Human Skeleton Detection from Semi-constrained Environment Video},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={384-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006245803840389},
isbn={978-989-758-226-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)
TI - Human Skeleton Detection from Semi-constrained Environment Video
SN - 978-989-758-226-4
AU - Afsar P.
AU - Cortez P.
AU - Santos H.
PY - 2017
SP - 384
EP - 389
DO - 10.5220/0006245803840389