Lubov Podladchikova

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Colour and shape are basic characteristics of traffic signs which are used both by the driver and to develop artificial traffic sign recognition systems. However, these sign features have not been represented robustly in the earlier developed recognition systems, especially in disturbed viewing conditions. In this study, this information is represented by(More)
A model of visual perception and recognition is described. The model contains: (i) a low-level subsystem which performs both a fovea-like transformation and detection of primary features (edges), and (ii) a high-level subsystem which includes separated 'what' (sensory memory) and 'where' (motor memory) structures. Image recognition occurs during the(More)
During the last 10 years, computer hardware technology has been improved rapidly. Large memory, storage is no longer a problem. Therefore some trade-off (dirty and quick algorithms) for traffic sign recognition between accuracy and speed should be improved. In this study, a new approach has been developed for accurate and fast recognition of traffic signs(More)
A biologically plausible model of traffic sign detection and recognition invariantly with respect to variable viewing conditions is presented. The model simulates several key mechanisms of biological vision, such as space-variant representation of information (reduction in resolution from the fovea to retinal periphery), orientation selectivity in the(More)
Algorithms and procedures to solve the task of road sign detection and recognition invariant of viewing conditions and results of testing during computer simulation with British and Russian signs are presented. After preliminary colour segmentation of initial real world images and classification according to road sign colours and external forms,(More)
A model-based approach to study complex image viewing mechanisms and the first results of its implementation are presented. The choice of the most informative regions (MIRs) is performed according to results of psychophysical tests with high-accuracy tracking of eye movements. For three test images, the MIRs were determined as image regions with maximal(More)
The prospective goal of our study is a quantitative estimation of the contribution of various factors and mechanisms during image viewing. In this paper, experimental data about temporal dynamics of eye movement parameters and viewing trajectory are considered. Three images were presented to each subject (n = 12) under two experimental conditions: "free(More)
-A model ol c an iso-orientation domain in the visual cortex is developed. The iso-orientation domain is represented as a neural network with retinotopieally organized t{fferent inputs and anisotropic lateral inhibition formed by feedbacks via inhibitor), interneurons'. Temporal dynamics of neuron responses to oriented stimuli is studied. The results off(More)