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Video measurement of resident-on-resident physical aggression in nursing homes

Published: 31 October 2008 Publication History

Abstract

Automated detection of aggressive behaviors captured in continuously recorded nursing home video can increase the accuracy of those reported by subjects and caregivers. We implement a detection algorithm based on the extraction of features as local binary motion descriptors, and apply a novel clustering algorithm to merge similar LBMD's into a video codebook, and build recognizers to classify aggressive from non-aggressive behaviors. This facilitates clinical investigation into this difficult to measure low frequency but high impact behavior.

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cover image ACM Conferences
VNBA '08: Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
October 2008
116 pages
ISBN:9781605583136
DOI:10.1145/1461893
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 31 October 2008

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Author Tags

  1. behavior analysis
  2. caremedia
  3. informedia
  4. psycho-social behavior
  5. video monitoring

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MM08: ACM Multimedia Conference 2008
October 31, 2008
British Columbia, Vancouver, Canada

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