loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Cyrille Migniot and Fakhreddine Ababsa

Affiliation: University of Evry val d’Essonne, France

ISBN: 978-989-758-009-3

Keyword(s): Gesture Tracking, Depth Cue, Particle Filter, Body Part, Multi-target Tracking.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.221.149

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.