Image processing in digital computer systems usually considers the
visual information as a sequence of frames. These frames are from cameras that
capture reality for a short period of time. They are renewed and transmitted at a
rate of 25-30 fps (typical real-time scenario). Digital video processing has to
process each frame in order to obtain a result or detect a feature. In stereo
vision, existing algorithms used for distance estimation use frames from two
digital cameras and process them pixel by pixel to obtain similarities and
differences from both frames; after that, depending on the scene and the
features extracted, an estimate of the distance of the different objects of the
scene is calculated. Spike-based processing is a relatively new approach that
implements the processing by manipulating spikes one by one at the time they
are transmitted, like a human brain. The mammal nervous system is able to
solve much more complex problems, such as visual recognition by
manipulating neuron spikes. The spike-based philosophy for visual information
processing based on the neuro-inspired Address-Event-Representation (AER) is
achieving nowadays very high performances. In this work we propose a two-
DVS-retina system, composed of other elements in a chain, which allow us to
obtain a distance estimation of the moving objects in a close environment. We
will analyze each element of this chain and propose a Multi Hold&Fire
algorithm that obtains the differences between both retinas.Ministerio de Ciencia e Innovación TEC2009-10639-C04-0
