RT Conference Proceedings
T1 Improving the Accuracy of Action Classification Using View-Dependent Context Information
A1 Cilla, Rodrigo
A1 Patricio Guisado, Miguel Ángel
A1 Berlanga de Jesús, Antonio
A1 Molina López, José Manuel
AB This paper presents a human action recognition system that decomposes the task in two subtasks. First, a view-independent classifier, shared between the multiple views to analyze, is applied to obtain an initial guess of the posterior distribution of the performed action. Then, this posterior distribution is combined with view based knowledge to improve the action classification. This allows to reuse the view-independent component when a new view has to be analyzed, needing to only specify the view dependent knowledge. An example of the application of the system into an smart home domain is discussed.
PB Springer
SN 978-3-642-21222-2 (online)
SN 978-3-642-21221-5 (print)
SN 0302-9743
YR 2011
FD 2011
LK https://hdl.handle.net/10016/18332
UL https://hdl.handle.net/10016/18332
LA eng
NO Proceedings of: 6th International Conference, HAIS 2011, Wroclaw,Poland, May 23-25, 2011
NO This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485) and DPS2008-07029-C02-02.
DS e-Archivo
RD 26 may. 2024