Recognition and localization of relevant human behavior in videos

Autor: Bouma, H., Burghouts, G.J., Penning, L. de, Hanckmann, P., Hove, R.J.M. ten, Korzec, S., Kruithof, M.C., Landsmeer, S., Leeuwen, C.J. van, Broek, S.P. van den, Halma, A.H.R., Hollander, R.J.M. den, Schutte, K.

Publikováno v: Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XII, 29 april 2013, Batimore, MD, USA

Ground surveillance is normally performed by human assets, since it requires visual intelligence. However, especially for military operations, this can be dangerous and is very resource intensive. Therefore, unmanned autonomous visual-intelligence sy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::31b9d4b12f00ad6a5eb6f5c47ed7be8b
http://resolver.tudelft.nl/uuid:5a529002-9805-4f62-8b63-b3e374d0dc3c

Online collaborative multi-agent reinforcement learning by transfer of abstract trajectories

Autor: van Someren, M., Pool, M., Korzec, S.

Publikováno v: BNAIC, 20, 241-248

In this paper we propose a method for multi-agent reinforcement learning by automatic discovery of abstract trajectories. Local details are abstracted from successful trajectories and the resulting generalized, abstract trajectories are exchanged bet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9837b3c1a19050134180d94a390b2ec1
https://dare.uva.nl/personal/pure/en/publications/online-collaborative-multiagent-reinforcement-learning-by-transfer-of-abstract-trajectories(ef64db3b-b717-42ac-9f4b-55da4c724e84).html

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