Traffic sign recognition based on human visual perception.
PhD thesis
Hong, K. 2005. Traffic sign recognition based on human visual perception. PhD thesis Middlesex University School of Engineering and Information Sciences
Type | PhD thesis |
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Title | Traffic sign recognition based on human visual perception. |
Authors | Hong, K. |
Abstract | This thesis presents a new approach, based on human visual perception, for detecting and recognising traffic signs under different viewing conditions. Traffic sign recognition is an important issue within any driver support system as it is fundamental to traffic safety and increases the drivers' awareness of situations and possible decisions that are ahead. All traffic signs possess similar visual characteristics, they are often the same size, shape and colour. However shapes may be distorted when viewed from different viewing angles and colours are affected by overall luminosity and the presence of shadows. Human vision can identify traffic signs correctly by ignoring this variance of colours and shapes. Consequently traffic sign recognition based on human visual perception has been researched during this project. In this approach two human vision models are adopted to solve the problems above: Colour Appearance Model (CIECAM97s) and Behavioural Model of Vision (BMV). Colour Appearance Model (CIECAM97s) is used to segment potential traffic signs from the image background under different weather conditions. Behavioural Model of Vision (BMV) is used to recognize the potential traffic signs. |
Department name | School of Engineering and Information Sciences |
Institution name | Middlesex University |
Publication dates | |
23 Sep 2010 | |
Publication process dates | |
Deposited | 23 Sep 2010 |
Completed | Aug 2005 |
Output status | Published |
Additional information | A Doctoral Thesis submitted in partial fulfilment of the requirement for the award of Doctor of Philosophy from Middlesex University. |
Language | English |
File |
https://repository.mdx.ac.uk/item/82zw3
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