• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations

DMCA

Sparse Dictionary-based Representation and Recognition of Action Attributes

Cached

  • Download as a PDF

Download Links

  • [www.cfar.umd.edu]
  • [www.umiacs.umd.edu]
  • [www.umiacs.umd.edu]
  • [www.cs.umd.edu]
  • [www.cs.umd.edu]
  • [www.cs.umd.edu]
  • [people.duke.edu]

  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Qiang Qiu , Zhuolin Jiang
Citations:23 - 7 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Qiu_sparsedictionary-based,
    author = {Qiang Qiu and Zhuolin Jiang},
    title = {Sparse Dictionary-based Representation and Recognition of Action Attributes},
    year = {}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective function for learning a sparse dictionary of action attributes. The objective function maximizes the mutual information between what has been learned and what remains to be learned in terms of appearance information and class distribution for each dictionary item. We propose a Gaussian Process (GP) model for sparse representation to optimize the dictionary objective function. The sparse coding property allows a kernel with a compact support in GP to realize a very efficient dictionary learning process. Hence we can describe an action video by a set of compact and discriminative action attributes. More importantly, we can recognize modeled action categories in a sparse feature space, which can be generalized to unseen and unmodeled action categories. Experimental results demonstrate the effectiveness of our approach in action recognition applications. 1.

Keyphrases

action attribute    sparse dictionary-based representation    appearance information    objective function    class distribution    gaussian process    modeled action category    action video    unmodeled action category    dictionary objective function    sparse feature space    dictionary learning    discriminative action    compact support    sparse dictionary    efficient dictionary learning process    sparse coding property    information maximization    mutual information    sparse representation    action recognition application    experimental result    dictionary item   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University