Gesture recognition based on spatiotemporal histogram of oriented gradient variation

Seiji Kojima, Wataru Ohyama, Tetsushi Wakabayashi

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

1 Citation (Scopus)

Abstract

A fine-grained gesture recognition method based on spatiotemporal representation for cooking activities is proposed. Cooking is one of common housework activity in daily life. Supporting cooking using video-based gesture recognition can contribute to improve our quality of life. A cooking gesture recognition method which employs a spatiotemporal representation for both appearance of a cooker and surrounding kitchen utensils. Our proposed method employs Spatio-Temporal extension of Histogram of Oriented Gradient Variation (ST-HOGV) which can represent not only appearance and temporal change of independent objects but locations of these objects. Performance evaluation experiment using ACE dataset shows that recognition accuracy of 76.4% is obtained and the KSCGR evaluation score achieves 73.5%. While the proposed method does not require any a priori knowledge, the performance is comparative other gesture recognition method with a priori knowledge.

Original languageEnglish
Title of host publication2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538610220
DOIs
Publication statusPublished - Apr 16 2018
Event6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017 - Himeji, Japan
Duration: Sep 1 2017Sep 3 2017

Publication series

Name2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
Volume2018-January

Other

Other6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
CountryJapan
CityHimeji
Period9/1/179/3/17

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Biomedical Engineering
  • Media Technology
  • Health Informatics

Fingerprint Dive into the research topics of 'Gesture recognition based on spatiotemporal histogram of oriented gradient variation'. Together they form a unique fingerprint.

Cite this