Combined face and gait recognition using alpha matte preprocessing

Martin Hofmann, Stephan M. Schmidt, A. N. Rajagopalan, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

42 Scopus citations

Abstract

This paper presents advances on the Human ID Gait Challenge. Our method is based on combining an improved gait recognition method with an adapted low resolution face recognition method. For this, we experiment with a new automated segmentation technique based on alpha-matting. This allows better construction of feature images used for gait recognition. The same segmentation is also used as a basis for finding and recognizing low-resolution facial profile images in the same database. Both, gait and face recognition methods show results comparable to the state of the art. Next, the two approaches are fused (which to our knowledge, has not yet been done for the Human ID Gait Challenge). With this fusion gain, we show significant performance improvement. Moreover, we reach the highest recognition rates and the largest absolute number of correct detections to date.

Original languageEnglish
Title of host publicationProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012
Pages390-395
Number of pages6
DOIs
StatePublished - 2012
Event2012 5th IAPR International Conference on Biometrics, ICB 2012 - New Delhi, India
Duration: 29 Mar 20121 Apr 2012

Publication series

NameProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012

Conference

Conference2012 5th IAPR International Conference on Biometrics, ICB 2012
Country/TerritoryIndia
CityNew Delhi
Period29/03/121/04/12

Fingerprint

Dive into the research topics of 'Combined face and gait recognition using alpha matte preprocessing'. Together they form a unique fingerprint.

Cite this