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

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

Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Kameyama, Michitaka (2010) A study of the different uses of colour channels for traffic sign recognition on hierarchical temporal memory. In: Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on. Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, pp. 111-114. ISBN 978-1424455430 (doi:10.1109/ICICIC.2009.55)

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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.

Item Type: Conference Proceedings
Title of Proceedings: Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Additional Information: [1] This paper was presented at the 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC) held 7-9 December 2009, in Kaohsiung, Taiwan. [2] INSPEC Accession Number: 11140517.
Uncontrolled Keywords: colour channels, traffic sign recognition, hierarchical temporal memory
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Pre-2014 Departments: School of Engineering
Last Modified: 14 Oct 2016 09:16
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/6427

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