Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Automated buildings

More general concepts than this:

1-1 of 1 results

Filter by subject:

< Any subject

  • Electrical and electronic engineering [1]
  • General topics, engineering mathematics and materials science [1]
  • Engineering mathematics and mathematical techniques [1]
  • Probability and statistics [1]
  • Markov processes [1]
  • Communications [1]
  • Information and communication theory [1]
  • Optical, image and video signal processing [1]
  • Computer and control engineering [1]
  • General and management topics [1]
  • See more See less

Filter by content type:

< Any content type

  • ConferencePaper [1]

Filter by publication date:

< Any publication date

  • 2006 [1]

Filter by author:

< Any author

  • J. Maisonnasse [1]
  • J.L. Crowley [1]
  • O. Brdiczka [1]
  • P. Reignier [1]
Learning individual roles from video in a smart home
Author(s): O. Brdiczka, J. Maisonnasse, P. Reignier, J.L. Crowley
Source: 2nd IET International Conference on Intelligent Environments (IE 06), 2006, p. v1:61 - v1:61
Type: ConferencePaper
+ Show details - Hide details

This paper addresses learning and recognition of individual roles from video data in a smart home environment. The proposed approach is part of a framework for acquiring a high-level contextual model for human behaviour in an intelligent environment. The proposed methods for role learning and recognition are based on Bayesian models. The input is the targets and their properties generated and tracked by a robust video tracking system in the environment. The output is the roles "walking", "standing", "sitting", "interacting with table", "sleeping" for each target. A Bayesian classifier produced good results for a framewise classification of these roles, while a hidden Markov model had even better performance taking into account a priori probabilities of roles and role transitions. A support vector machine produced best classification results. The classifiers had, however, problems to distinguish ambiguous roles like "walking" and "standing" in the environment. The obtained results permit to pass to the next step in future work: learning and recognizing relations and situation. (9 pages)

Add to favourites
Export citations
Items per page 20 | 50 | 100
Print this page
This is a required field
Please enter a valid email address