Human Action Recognition for Real-time Applications

Ivo Reznicek, Pavel Zemcik

Abstract

Action recognition in video is an important part of many applications. While the performance of action recognition has been intensively investigated, not much research so far has been done in the understanding of how long a sequence of video frames is needed to correctly recognize certain actions. This paper presents a new method of measurement of the length of the video sequence necessary to recognize the actions based on space-time feature points. Such length is the key information necessary to successfully recognize the actions in real-time or performance critical applications. The action recognition used in the presented approach is the state-of-the-art one; vocabulary, bag of words and SVM processing. The proposed methods is experimentally evaluated on human action recognition dataset.

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Paper Citation


in Harvard Style

Reznicek I. and Zemcik P. (2014). Human Action Recognition for Real-time Applications . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 646-653. DOI: 10.5220/0004826606460653


in Bibtex Style

@conference{icpram14,
author={Ivo Reznicek and Pavel Zemcik},
title={Human Action Recognition for Real-time Applications},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={646-653},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004826606460653},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Human Action Recognition for Real-time Applications
SN - 978-989-758-018-5
AU - Reznicek I.
AU - Zemcik P.
PY - 2014
SP - 646
EP - 653
DO - 10.5220/0004826606460653