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The neuromorphic visual processing framework mimicking the biological vision system offers an alternative process into applying computer vision in everyday environment. With the growing interest for an effective approach for making detection of vulnerable road users for the purpose of safety enhancement, the proposed neuromorphic visual processing was tested on vulnerable road users such as cyclists...
Considering the number of fatalities and serious injuries, there is a surprising dearth of human figure detection in the context of railway environment. Our proposed neuromorphic visual processing algorithm based on the biological vision system is an effective approach for making detection of human figures in the railway environment based on either stationary image sensor or mobile image sensor. The...
There have been many researches on computer vision for the purpose of vehicle safety applications, making use of diverse methodologies like complex vision algorithms. However, despite its effectiveness, computer vision algorithms sometimes lack the robustness of mammalian visual system for the application in dynamic environments in vehicle driving conditions. We propose that the neuromorphic visual...
This paper describes the early vision of bio-inspired neuromorphic system enhanced by fuzzy processing, mimicking the primitive behaviour of visual cortex. The proposed bio-inspired system exhibits the biologically plausible function of mimicking the cat's visual cortex experimentation of Hubel and Wiesel. The neuromorphic implementation of vision is inspired by the directional visual signal selectivity...
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