Underdetermined approach to real-time face tracking and recognition

Hisayoshi Chugan, Yuki Oka, Takeshi Shakunaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In a real-time face tracking and recognition system proposed by Oka and Shakunaga, an optimum weighted average of registered images are estimated and the weights are used for face identification and shape inference.Although their method works well even when a target face changes pose in photometric changes, both the person identification and expression recognition could not be robustly solved at the same time because of a capacity problem. This paper proposes underdetermined approach to solve the capacity problem. Although a single underdetermined system often results in some performance reduction, parallel implementation can remarkably improve the performance. Experimental results showed that the proposed method successfully worked for 10-person discrimination when 10 expressions were registered for each person even when an image sequence included many face motion, expression, photometric change and occasional occlusions.

Original languageEnglish
Title of host publicationProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013
PublisherMVA Organization
Pages242-246
Number of pages5
ISBN (Print)9784901122139
Publication statusPublished - 2013
Event13th IAPR International Conference on Machine Vision Applications, MVA 2013 - Kyoto, Japan
Duration: May 20 2013May 23 2013

Publication series

NameProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013

Conference

Conference13th IAPR International Conference on Machine Vision Applications, MVA 2013
CountryJapan
CityKyoto
Period5/20/135/23/13

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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