Abstract
In this paper we propose a bio-inspired architecture to detect, describe and distinguish objects in motion. By using neuronal and physiological mechanisms in primary visual cortex (V1), middle temporal (MT) and inferotemporal (IT) areas we can start isolating the objects from their environment; then, track, label and distinguish the humans from non-human figures in motion and finally, represent the person’s silhouette to get a better understanding of the body structure.
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González bandala, D.A., Sánchez Orellana, P.L., Castellanos Sánchez, C. (2010). Bio-inspired Architecture for Human Detection. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_24
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DOI: https://doi.org/10.1007/978-3-642-15819-3_24
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