Change search
ReferencesLink to record
Permanent link

Direct link
Application of the reeb graph technique to vehicle occupant's head detection in low-resolution range images
Show others and affiliations
2007 (English)In: 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 2007, 3426-3433 p.Conference paper (Refereed)
Abstract [en]

In [3], a low-resolution range sensor was investigated for an occupant classification system that distinguish person from child seats or an empty seat. The optimal deployment of vehicle airbags for maximum protection moreover requires information about the occupant's size and position. The detection of occupant's position involves the detection and localization of occupant's head. This is a challenging problem as the approaches based on local shape analysis (in 2D or 3D) alone are not robust enough as other parts of the person's body like shoulders, knee may have similar shapes as the head. This paper discusses and investigate the potential of a Reeb graph approach to describe the topology of vehicle occupants in terms of a skeleton. The essence of the proposed approach is that an occupant sitting in a vehicle has a typical topology which leads to different branches of a Reeb Graph and the possible location of the occupant's head are thus the end points of the Reeb graph. The proposed method is applied on real 3D range images and is compared to Ground truth information. Results show the feasibility of using topological information to identify the position of occupant's

Place, publisher, year, edition, pages
2007. 3426-3433 p.
, Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919
National Category
Computer Science
URN: urn:nbn:se:kth:diva-34959DOI: 10.1109/CVPR.2007.383450ISI: 000250382807002ScopusID: 2-s2.0-35148818795OAI: diva2:427356
IEEE Conference on Computer Vision and Pattern Recognition Minneapolis, MN, JUN 17-22, 2007
QC 20110628Available from: 2011-06-28 Created: 2011-06-17 Last updated: 2011-06-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ottersten, Björn
By organisation
Signal Processing
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 9 hits
ReferencesLink to record
Permanent link

Direct link