Part-based 3D Multi-person Tracking using Depth Cue in a Top View

Cyrille Migniot, Fakhreddine Ababsa

2014

Abstract

While the problem of tracking 3D human motion has been widely studied, the top view is never taken into consideration. However, for the video surveillance, the camera is most of the time placed above the persons. This is due to the human shape is more discriminative in the front view. We propose in this paper a markerless 3D human tracking on the top view. To do this we use the depth and color image sequences given by a kinect. First a 3D model is fitted to these cues in a particle filter framework. Then we introduce a process where the body parts are linked in a complete 3D model but weighted separately so as to reduce the computing time and optimize the resampling step. We find that this part-based tracking increases the accuracy. The process is real-time and works with multiple targets.

Paper Citation

in Harvard Style

Migniot C. and Ababsa F. (2014). Part-based 3D Multi-person Tracking using Depth Cue in a Top View . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 419-426. DOI: 10.5220/0004648204190426

in Bibtex Style

@conference{visapp14,
author={Cyrille Migniot and Fakhreddine Ababsa},
title={Part-based 3D Multi-person Tracking using Depth Cue in a Top View},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={419-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004648204190426},
isbn={978-989-758-009-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - Part-based 3D Multi-person Tracking using Depth Cue in a Top View
SN - 978-989-758-009-3
AU - Migniot C.
AU - Ababsa F.
PY - 2014
SP - 419
EP - 426
DO - 10.5220/0004648204190426