DocumentCode :
3455588
Title :
A Study of the Different Uses of Colour Channels for Traffic Sign Recognition on Hierarchical Temporal Memory
Author :
Melis, Wim J C ; Kameyama, Michitaka
Author_Institution :
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
111
Lastpage :
114
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.
Keywords :
automobiles; image colour analysis; object recognition; probability; traffic engineering computing; car; colour information; hierarchical temporal memory; object recognition; optimisation; probability based systems; traffic sign recognition; Animals; Brain modeling; Humans; Image recognition; Layout; Machine vision; Object recognition; Real time systems; Roads; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.55
Filename :
5412301
Link To Document :
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