Abstract
This paper articulates the concept of affordances use as the building block of an automated video surveillance system which learns and evolves over time. It grounds its arguments on the basis of a visual attention hardware and affordances.
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Yaghoobi, A., Rezazadegan-Tavakoli, H., Röning, J. (2015). Affordances in Video Surveillance. In: Agapito, L., Bronstein, M., Rother, C. (eds) Computer Vision - ECCV 2014 Workshops. ECCV 2014. Lecture Notes in Computer Science(), vol 8926. Springer, Cham. https://doi.org/10.1007/978-3-319-16181-5_28
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DOI: https://doi.org/10.1007/978-3-319-16181-5_28
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