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. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
González Bandala, D. A., Sánchez Orellana, P. L., & Castellanos Sánchez, C. (2010). Bio-inspired architecture for human detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6352 LNCS, pp. 188–192). https://doi.org/10.1007/978-3-642-15819-3_24
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
