Human action recognition using multi-view image sequences features

Mohiuddin Ahmad, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Citations (Scopus)

Abstract

Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image sequences in different viewing angles that uses the Cartesian component of optical flow velocity and human body shape feature vector information. We use principal component analysis to reduce the higher dimensional shape feature space into low dimensional shape feature space. We represent each action using a set of multidimensional discrete hidden Markov model and model each action for any viewing direction. We performed experiments of the proposed method by using KU gesture database. Experimental results based on this database of different actions show that our method is robust.

Original languageEnglish
Title of host publicationFGR 2006
Subtitle of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pages523-528
Number of pages6
DOIs
Publication statusPublished - 2006
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 2006 Apr 102006 Apr 12

Publication series

NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Volume2006

Other

OtherFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
CountryUnited Kingdom
CitySouthampton
Period06/4/1006/4/12

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Human action recognition using multi-view image sequences features'. Together they form a unique fingerprint.

  • Cite this

    Ahmad, M., & Lee, S. W. (2006). Human action recognition using multi-view image sequences features. In FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (pp. 523-528). [1613072] (FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition; Vol. 2006). https://doi.org/10.1109/FGR.2006.65