Human action recognition for real-time applications

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU135859" target="_blank" >RIV/00216305:26230/14:PU135859 - isvavai.cz</a>

Result on the web

<a href="https://www.fit.vut.cz/research/publication/10501/" target="_blank" >https://www.fit.vut.cz/research/publication/10501/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Human action recognition for real-time applications

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/7H12006" target="_blank" >7H12006: ConstRaint and Application driven Framework for Tailoring Embedded Real-time Systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

ISBN

978-989-758-018-5

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

646-653

Publisher name

NEUVEDEN

Place of publication

Angers

Event location

Angers

Event date

Mar 6, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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