In this paper we investigate the effects of fusing feature streams extracted from color and depth videos, aiming to monitor the actions of people in an assistive environment. The output of fused time-series classifiers is used to model and extract actions. To this end we compare the Hidden Markov model classifier and fusion methods like early, late or state fusion. Our experiments employ a public dataset, which was acquired indoors.
%0 Book Section
%1 KosmopoulosDoliotisEtAl13DAPI
%A Kosmopoulos, Dimitrios I.
%A Doliotis, Paul
%A Athitsos, Vassilis
%A Maglogiannis, Ilias
%B Distributed, Ambient, and Pervasive Interactions: Proc.\ of the First International Conference (DAPI 2013), Las Vegas, NV, USA
%C Heidelberg
%D 2013
%E Streitz, Norbert
%E Stephanidis, Constantine
%I Springer
%K 01624 springer paper embedded ai user interaction interface video image action recognition zzz.mmi
%N 8028
%P 42--51
%R 10.1007/978-3-642-39351-8_5
%T Fusion of Color and Depth Video for Human Behavior Recognition in an Assistive Environment
%X In this paper we investigate the effects of fusing feature streams extracted from color and depth videos, aiming to monitor the actions of people in an assistive environment. The output of fused time-series classifiers is used to model and extract actions. To this end we compare the Hidden Markov model classifier and fusion methods like early, late or state fusion. Our experiments employ a public dataset, which was acquired indoors.
%@ 978-3-642-39350-1
@incollection{KosmopoulosDoliotisEtAl13DAPI,
abstract = {In this paper we investigate the effects of fusing feature streams extracted from color and depth videos, aiming to monitor the actions of people in an assistive environment. The output of fused time-series classifiers is used to model and extract actions. To this end we compare the Hidden Markov model classifier and fusion methods like early, late or state fusion. Our experiments employ a public dataset, which was acquired indoors.},
added-at = {2017-05-05T16:57:01.000+0200},
address = {Heidelberg},
author = {Kosmopoulos, Dimitrios I. and Doliotis, Paul and Athitsos, Vassilis and Maglogiannis, Ilias},
biburl = {https://www.bibsonomy.org/bibtex/2c80c3ca162e4c92c211eaeeb1f75d143/flint63},
booktitle = {Distributed, Ambient, and Pervasive Interactions: Proc.\ of the First International Conference (DAPI 2013), Las Vegas, NV, USA},
crossref = {DAPI2013},
doi = {10.1007/978-3-642-39351-8_5},
editor = {Streitz, Norbert and Stephanidis, Constantine},
file = {SpringerLink:2013/KosmopoulosDoliotisEtAl13DAPI.pdf:PDF},
groups = {public},
interhash = {22dc78a12458737ee442cbe994a3a2fa},
intrahash = {c80c3ca162e4c92c211eaeeb1f75d143},
isbn = {978-3-642-39350-1},
issn = {0302-9743},
keywords = {01624 springer paper embedded ai user interaction interface video image action recognition zzz.mmi},
number = 8028,
pages = {42--51},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2017-07-13T17:28:02.000+0200},
title = {Fusion of Color and Depth Video for Human Behavior Recognition in an Assistive Environment},
username = {flint63},
year = 2013
}