loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stijn De Beugher ; Geert Brône and Toon Goedemé

Affiliation: KU Leuven, Belgium

ISBN: 978-989-758-090-1

Keyword(s): Eye-tracking, Hand detection, Hand tracking, Human-human interaction, Gaze, (Semi-)automatic analysis.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Mobile Imaging ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: In this paper we present a highly accurate algorithm for the detection of human hands in real-life 2D image sequences. Current state of the art algorithms show relatively poor detection accuracy results on unconstrained, challenging images. To overcome this, we introduce a detection scheme in which we combine several well known detection techniques combined with an advanced elimination mechanism to reduce false detections. Furthermore we present a novel (semi-)automatic framework achieving detection rates up to 100%, with only minimal manual input. This is a useful tool in supervised applications where an error-free detection result is required at the cost of a limited amount of manual effort. As an application, this paper focuses on the analysis of video data of human-human interaction, collected with the scene camera of mobile eye-tracking glasses. This type of data is typically annotated manually for relevant features (e.g. visual fixations on gestures), which is a time-consuming, tedious and error-prone task. The usage of our semi-automatic approach reduces the amount of manual analysis dramatically. We also present a new fully annotated benchmark dataset on this application which we made publicly available. (More)

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 34.237.51.159

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:
De Beugher, S.; Brône, G. and Goedemé, T. (2015). Semi-automatic Hand Detection - A Case Study on Real Life Mobile Eye-tracker Data.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 121-129. DOI: 10.5220/0005306601210129

@conference{visapp15,
author={Stijn De Beugher. and Geert Brône. and Toon Goedemé.},
title={Semi-automatic Hand Detection - A Case Study on Real Life Mobile Eye-tracker Data},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={121-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306601210129},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Semi-automatic Hand Detection - A Case Study on Real Life Mobile Eye-tracker Data
SN - 978-989-758-090-1
AU - De Beugher, S.
AU - Brône, G.
AU - Goedemé, T.
PY - 2015
SP - 121
EP - 129
DO - 10.5220/0005306601210129

Login or register to post comments.

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