Bio-inspired architecture for human detection

Authors:
Daniel Alejandro González Bandala;Pedro Luis Sánchez Orellana;Claudio Castellanos Sánchez
Affiliations:
Laboratory of Information Technology, Cinvestav, Tamaulipas, México;Laboratory of Information Technology, Cinvestav, Tamaulipas, México;Laboratory of Information Technology, Cinvestav, Tamaulipas, México
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Year:
2010

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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.