Haarlet-based hand gesture recognition for 3D interaction

Michael Van den Bergh; Frédéric Bosché; E Koller-Meier; Luc Van Gool

doi:10.1109/WACV.2009.5403103

Haarlet-based hand gesture recognition for 3D interaction

Michael Van den Bergh, Frédéric Bosché, E Koller-Meier, Luc Van Gool

School of Energy, Geoscience, Infrastructure and Society

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

25 Citations (Scopus)

69 Downloads (Pure)

Abstract

This paper presents a system to manipulate 3D objectsor navigate through 3D models by detecting the gesturesand the movements of the hands of a user in front of a cameramounted on top of a screen. This paper more particularlyintroduces an improved skin color segmentation algorithmwhich combines an online and an offline model; anda Haarlet-based hand gesture recognition system, wherethe Haarlets are trained based on Average NeighborhoodMargin Maximization (ANMM). The result is a real-timemarker-less interaction system which is applied to two applications,one for manipulating 3D objects, and the otherfor navigating through a 3D model.

Original language	English
Title of host publication	2009 Workshop on Applications of Computer Vision (WACV)
Publisher	IEEE
Number of pages	8
ISBN (Print)	978-1-4244-5497-6
DOIs	https://doi.org/10.1109/WACV.2009.5403103
Publication status	Published - 2009
Event	IEEE Workshop on Applications of Computer Vision (WACV) 2009 - Snowbird, United States Duration: 7 Dec 2009 → 8 Dec 2009

Conference

Conference	IEEE Workshop on Applications of Computer Vision (WACV) 2009
Country/Territory	United States
City	Snowbird
Period	7/12/09 → 8/12/09

Access to Document

10.1109/WACV.2009.5403103

Download pdf
© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 8.31 MBLicence: All Rights Reserved

Cite this

@inproceedings{e981f8668a0147a1ae80c57e522b2b21,

title = "Haarlet-based hand gesture recognition for 3D interaction",

abstract = "This paper presents a system to manipulate 3D objectsor navigate through 3D models by detecting the gesturesand the movements of the hands of a user in front of a cameramounted on top of a screen. This paper more particularlyintroduces an improved skin color segmentation algorithmwhich combines an online and an offline model; anda Haarlet-based hand gesture recognition system, wherethe Haarlets are trained based on Average NeighborhoodMargin Maximization (ANMM). The result is a real-timemarker-less interaction system which is applied to two applications,one for manipulating 3D objects, and the otherfor navigating through a 3D model.",

author = "{Van den Bergh}, Michael and Fr{\'e}d{\'e}ric Bosch{\'e} and E Koller-Meier and {Van Gool}, Luc",

year = "2009",

doi = "10.1109/WACV.2009.5403103",

language = "English",

isbn = "978-1-4244-5497-6",

booktitle = "2009 Workshop on Applications of Computer Vision (WACV)",

publisher = "IEEE",

address = "United States",

note = "IEEE Workshop on Applications of Computer Vision (WACV) 2009 ; Conference date: 07-12-2009 Through 08-12-2009",

}

TY - GEN

T1 - Haarlet-based hand gesture recognition for 3D interaction

AU - Van den Bergh, Michael

AU - Bosché, Frédéric

AU - Koller-Meier, E

AU - Van Gool, Luc

PY - 2009

Y1 - 2009

N2 - This paper presents a system to manipulate 3D objectsor navigate through 3D models by detecting the gesturesand the movements of the hands of a user in front of a cameramounted on top of a screen. This paper more particularlyintroduces an improved skin color segmentation algorithmwhich combines an online and an offline model; anda Haarlet-based hand gesture recognition system, wherethe Haarlets are trained based on Average NeighborhoodMargin Maximization (ANMM). The result is a real-timemarker-less interaction system which is applied to two applications,one for manipulating 3D objects, and the otherfor navigating through a 3D model.

AB - This paper presents a system to manipulate 3D objectsor navigate through 3D models by detecting the gesturesand the movements of the hands of a user in front of a cameramounted on top of a screen. This paper more particularlyintroduces an improved skin color segmentation algorithmwhich combines an online and an offline model; anda Haarlet-based hand gesture recognition system, wherethe Haarlets are trained based on Average NeighborhoodMargin Maximization (ANMM). The result is a real-timemarker-less interaction system which is applied to two applications,one for manipulating 3D objects, and the otherfor navigating through a 3D model.

U2 - 10.1109/WACV.2009.5403103

DO - 10.1109/WACV.2009.5403103

M3 - Conference contribution

SN - 978-1-4244-5497-6

BT - 2009 Workshop on Applications of Computer Vision (WACV)

PB - IEEE

T2 - IEEE Workshop on Applications of Computer Vision (WACV) 2009

Y2 - 7 December 2009 through 8 December 2009

ER -

Haarlet-based hand gesture recognition for 3D interaction

Abstract

Conference

Access to Document

Fingerprint

Cite this