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Online human-assisted learning using random ferns

Author
Villamizar, M.A.; Garrell, A.; Sanfeliu, A.; Moreno-Noguer, F.
Type of activity
Presentation of work at congresses
Name of edition
21st International Conference on Pattern Recognition
Date of publication
2012
Presentation's date
2012
Book of congress proceedings
Proceedings of the 21st International Conference on Pattern Recognition
First page
2821
Last page
2824
Repository
http://hdl.handle.net/2117/18283 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460752 Open in new window
Abstract
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...
Citation
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.
Keywords
human robot interaction, object detection, object recognition, pattern recognition. Author keywords: on line learning, random ferns
Group of research
VIS - Artificial Vision and Intelligent Systems

Participants