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Omnidirectional tracking and recognition of persons in planar views

  • Technical University of Munich

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

Abstract

In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are extracted from these sections and given as input to Cyclic Pseudo two-dimensional Hidden Markov Model based classifiers. These classifiers are trained to recognize the identity of the shown persons. The video material is recorded in an office environment with changing lighting conditions and thus results in a challenging task for both tracking and recognition. The overall performance of the system is evaluated depending on the various views of persons rotating on a swivel chair.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages1476-1479
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA
Period12/10/0815/10/08

Keywords

  • Face recognition
  • Hidden Markov Models
  • Monte Carlo methods
  • Surveillance

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