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Online human-assisted learning using random ferns

Autor
Villamizar, M.A.; Garrell, A.; Sanfeliu, A.; Moreno-Noguer, F.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
21st International Conference on Pattern Recognition
Any de l'edició
2012
Data de presentació
2012
Llibre d'actes
Proceedings of the 21st International Conference on Pattern Recognition
Pàgina inicial
2821
Pàgina final
2824
Repositori
http://hdl.handle.net/2117/18283 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460752 Obrir en finestra nova
Resum
We present an Online Random Ferns (ORFs) classifier that progressively learns and builds enhanced models of object appearances. During the learning process, we allow the human intervention to assist the classifier and discard false positive training samples. The amount of human intervention is minimized and integrated within the online learning, such that in a few seconds, complex object appearances can be learned. After the assisted learning stage, the classifier is able to detect the object un...
Citació
Villamizar, M.A. [et al.]. Online human-assisted learning using random ferns. A: International Conference on Pattern Recognition. "Proceedings of International Conference on Pattern Recognition". Tsukuba Science City: 2012, p. 2821-2824.
Paraules clau
human robot interaction, object detection, object recognition, pattern recognition. Author keywords: on line learning, random ferns
Grup de recerca
VIS - Visió Artificial i Sistemes Intel.ligents

Participants