Exploiting Human Actions and Object Context for Recognition Tasks

  title={Exploiting Human Actions and Object Context for Recognition Tasks},
  author={Darnell J. Moore and Irfan A. Essa and Monson H. Hayes},
Our goal is to exploit human motion and object context to perform action recognition and object classification. Towards this end, we introduce a framework for recognizing actions and objects by measuring image-, objectand action-based information from video. Hidden Markov models are combined with object context to classify hand actions, which are aggregated by a Bayesian classifier to summarize activities. We also use Bayesian methods to differentiate the class of unknown objects by evaluating… CONTINUE READING
Highly Cited
This paper has 432 citations. REVIEW CITATIONS

7 Figures & Tables



Citations per Year

432 Citations

Semantic Scholar estimates that this publication has 432 citations based on the available data.

See our FAQ for additional information.