ISL person identification systems in the CLEAR evaluations

Hazim Kemal Ekenel, Qin Jin

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

Abstract

In this paper, we presented three person identification systems that we have developed for the CLEAR evaluations. Two of the developed identification systems are based on single modalities- audio and video, whereas the third system uses both of these modalities. The visual identification system analyzes the face images of the individuals to determine the identity of the person. It processes multi-view, multi-frame information to provide the identity estimate. The speaker identification system processes the audio data from different channels and tries to determine the identity. The multi-modal identification system fuses the similarity scores obtained by the audio and video modalities to reach an identity estimate.

Original languageEnglish (US)
Title of host publicationMultimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers
PublisherSpringer Verlag
Pages249-257
Number of pages9
ISBN (Print)9783540695677
DOIs
StatePublished - 2007
Event1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 - Southhampton, United Kingdom
Duration: Apr 6 2006Apr 7 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4122 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006
Country/TerritoryUnited Kingdom
CitySouthhampton
Period4/6/064/7/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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