Incremental face recognition: Hybrid approach using short-term memory and long-term memory

Sangwook Kim, Rammohan Mallipeddi, Minho Lee

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

2 Scopus citations

Abstract

To overcome the plasticity-stability dilemma in incremental face recognition algorithms, we propose a model that employs - short-term memory (STM) and long-term memory (LTM) based on the Atkinson theory. During the incremental learning the STM can learn the incoming data quickly but due to the limited capacity tends to forget the previously learnt data while trying to learn the new incoming data. Conversely, LTM takes more time to learn the new data but can incorporate the new incoming data effectively while maintaining the previously learnt data. In this paper, we try to improve the learning capability of the STM by using the information present in the LTM by a recall process. To show the effectiveness of the recall process, we evaluated the performance of the STM with and without the recall operation. Experimental results show the successful face recognition performance of the proposed method and the importance of the recall process.

Original languageEnglish
Title of host publicationNeural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
Pages194-201
Number of pages8
EditionPART 1
DOIs
StatePublished - 2012
Event19th International Conference on Neural Information Processing, ICONIP 2012 - Doha, Qatar
Duration: 12 Nov 201215 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7663 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Neural Information Processing, ICONIP 2012
Country/TerritoryQatar
CityDoha
Period12/11/1215/11/12

Keywords

  • face recognition
  • long-term memory
  • short-term memory
  • stability and plasticity dilemma

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