A study of the different uses of colour channels for traffic sign recognition on hierarchical temporal memory

Wim J.C. Melis, Michitaka Kameyama

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

8 Citations (Scopus)

Abstract

When designing intelligence for a car many different tasks can be performed. Some of these tasks cannot easily be performed by conventional algorithms in comparison with the human brain. Recently, such intelligence has often been reached by using probability based systems. In this paper, Hierarchical Temporal Memory (HTM) is used to implement one of these tasks, namely traffic sign recognition. In implementing this traffic sign recognition task, it is noticed that the use of colour is of particular importance, and that colour information should be treated in a particular way to optimise the recognition. However it is also noticed that there are still a significant number of differences between the modelling of the brain and how the brain actually deals with colour and object recognition.

Original languageEnglish
Title of host publication2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Pages111-114
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 - Kaohsiung, Taiwan, Province of China
Duration: 2009 Dec 72009 Dec 9

Publication series

Name2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Other

Other2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period09/12/709/12/9

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

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