Novelty Detection from an Ego-Centric perspective
2011 (English)In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, 3297-3304 p.Conference paper (Refereed)
This paper demonstrates a system for the automatic extraction of novelty in images captured from a small video camera attached to a subject's chest, replicating his visual perspective, while performing activities which are repeated daily. Novelty is detected when a (sub)sequence cannot be registered to previously stored sequences captured while performing the same daily activity. Sequence registration is performed by measuring appearance and geometric similarity of individual frames and exploiting the invariant temporal order of the activity. Experimental results demonstrate that this is a robust way to detect novelties induced by variations in the wearer's ego-motion such as stopping and talking to a person. This is an essentially new and generic way of automatically extracting information of interest to the camera wearer and can be used as input to a system for life logging or memory support.
Place, publisher, year, edition, pages
2011. 3297-3304 p.
, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-38873DOI: 10.1109/CVPR.2011.5995731ISI: 000295615803073ScopusID: 2-s2.0-80052890189ISBN: 978-145770394-2OAI: oai:DiVA.org:kth-38873DiVA: diva2:438237
2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011; Colorado Springs, CO; 20 June 2011 through 25 June 2011
FunderICT - The Next Generation
QC 201110122011-09-012011-09-012014-06-04Bibliographically approved