Abstract
In this paper we propose a bio-inspired architecture for visual recognition of humans at walking and objects that can be humans but do not describe a gait like humans at walking, based on the behaviour of simples cells in the human primary visual cortex. This architecture was tested with real sequences of images acquired in natural environments. The results show the flexibility of our propose since it helps to distinguish between these two types of moving objects, even in unknown scene conditions (bright, or background motion).
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Sánchez Orellana, P.L., Castellanos Sánchez, C., del Angel-Guerrero, E., Martínez-Arenas, T. (2009). Bio-inspired Architecture for Visual Recognition of Humans Walking. In: Yu, W., Sanchez, E.N. (eds) Advances in Computational Intelligence. Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03156-4_45
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DOI: https://doi.org/10.1007/978-3-642-03156-4_45
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