Add to ORKGA new algorithm is reported that simulates the mechanisms of biological vision in performing classification of traffic sign images, which can increase the recognition rate of signs up to 96% under real viewing conditions. The work also made a significant contribution towards a better understanding of human vision behaviour. Part of the work was carried out in collaboration with Russian scientists on the development of perception models of human vision. This collaboration resulted in an award from the European Commission for Tele-imaging in Medicine (TIME) (CN/ASIA-IT&C/009(91450))
The presented paper investigates the problems of image pre-processing methods for traffic sign recog...
Abstract We proposed an intelligent machine vision system to recognize traffic signs captured from ...
[[abstract]]Road sign recognition is an important task in driver assistance systems. In this paper, ...
A new algorithm is reported that simulates the mechanisms of biological vision in performing classif...
A biologically plausible algorithms and model for traffic sign recognition invariantly with respect ...
A biologically plausible algorithms and model for traffic sign recognition invariantly with respect ...
Abstract. A new approach has been developed for accurate and fast recognition of traffic signs based...
Algorithms and procedures to solve the task of road sign detection and recognition invariant of view...
During the last 10 years,computer hardware technology has been improved rapidly.Large memory,storage...
During the last 10 years, computer hardware technology has been improved rapidly. Large memory, stor...
This paper extends earlier work on a vision behaviour model, FOSTS, which had been developed to perf...
—Algorithms for classification of the images of faces and road signs are presented. Estimation of fa...
Biologically plausible model approach to solve the task of traffic sign detection and recognition in...
This thesis is all about the visual attention, starting from understanding the human visual system u...
This paper presents a new approach to segment and recognise traffic signs via two vision models: the...
The presented paper investigates the problems of image pre-processing methods for traffic sign recog...
Abstract We proposed an intelligent machine vision system to recognize traffic signs captured from ...
[[abstract]]Road sign recognition is an important task in driver assistance systems. In this paper, ...
A new algorithm is reported that simulates the mechanisms of biological vision in performing classif...
A biologically plausible algorithms and model for traffic sign recognition invariantly with respect ...
A biologically plausible algorithms and model for traffic sign recognition invariantly with respect ...
Abstract. A new approach has been developed for accurate and fast recognition of traffic signs based...
Algorithms and procedures to solve the task of road sign detection and recognition invariant of view...
During the last 10 years,computer hardware technology has been improved rapidly.Large memory,storage...
During the last 10 years, computer hardware technology has been improved rapidly. Large memory, stor...
This paper extends earlier work on a vision behaviour model, FOSTS, which had been developed to perf...
—Algorithms for classification of the images of faces and road signs are presented. Estimation of fa...
Biologically plausible model approach to solve the task of traffic sign detection and recognition in...
This thesis is all about the visual attention, starting from understanding the human visual system u...
This paper presents a new approach to segment and recognise traffic signs via two vision models: the...
The presented paper investigates the problems of image pre-processing methods for traffic sign recog...
Abstract We proposed an intelligent machine vision system to recognize traffic signs captured from ...
[[abstract]]Road sign recognition is an important task in driver assistance systems. In this paper, ...