Change search
ReferencesLink to record
Permanent link

Direct link
Recognizing walking people
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2003 (English)In: The international journal of robotics research, ISSN 0278-3649, E-ISSN 1741-3176, Vol. 22, no 6, 359-369 p.Article in journal (Refereed) Published
Abstract [en]

We present a method for the recognition of walking people in monocular image sequences based on the extraction of coordinates of specific point locations on the body. The method works by a comparison of sequences of recorded coordinates with a library of sequences from different individuals. The comparison is based on the evaluation of view invariant and calibration independent view consistency constraints. These constraints are functions of corresponding image coordinates in two views and are satisfied whenever the two views are projected from the same three-dimensional (3D) object. By evaluating the view consistency constraints for each pair of frames in a sequence of a walking person and a stored sequence, we obtain a matrix of consistency values that ideally are zero whenever the pair of images depict the same 3D posture. The method is virtually parameter free and computes a consistency residual between a pair of sequences that can be used as a distance for clustering and classification. Using interactively extracted data we present experimental results that are superior to those of previously published algorithms both in terms of performance and generality.

Place, publisher, year, edition, pages
2003. Vol. 22, no 6, 359-369 p.
Keyword [en]
structure from motion, calibration, object recognition, recognition, images, motion
URN: urn:nbn:se:kth:diva-22614ISI: 000183699100002OAI: diva2:341312
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Carlsson, Stefan
By organisation
Numerical Analysis and Computer Science, NADA
In the same journal
The international journal of robotics research

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

Total: 21 hits
ReferencesLink to record
Permanent link

Direct link