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Profile Hidden Markov Models for Foreground Object Modelling

Abstract: 

Accurate background/foreground segmentation is a preliminary process essential to most visual surveillance applications. With the increasing use of freely moving cameras, strategies have been proposed to refine initial segmentation. In this paper, it is proposed to exploit the Vide-omics paradigm, and Profile Hidden Markov Models in particular, to create a new type of object descriptors relying on spatiotemporal information. Performance of the proposed methodology has been evaluated using a standard dataset of videos captured by moving cameras. Results show that usage of the proposed object descriptors allows better foreground extraction than standard approaches.

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Paper Details

Authors:
Francisco Florez-Revuelta, Jean-Christophe Nebel
Submitted On:
12 October 2018 - 7:02am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Ioannis Kazantzidis
Paper Code:
1970
Document Year:
2018
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Document Files

Bioinformatics-inspired video analysis

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[1] Francisco Florez-Revuelta, Jean-Christophe Nebel, "Profile Hidden Markov Models for Foreground Object Modelling", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3663. Accessed: Nov. 19, 2018.
@article{3663-18,
url = {http://sigport.org/3663},
author = {Francisco Florez-Revuelta; Jean-Christophe Nebel },
publisher = {IEEE SigPort},
title = {Profile Hidden Markov Models for Foreground Object Modelling},
year = {2018} }
TY - EJOUR
T1 - Profile Hidden Markov Models for Foreground Object Modelling
AU - Francisco Florez-Revuelta; Jean-Christophe Nebel
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3663
ER -
Francisco Florez-Revuelta, Jean-Christophe Nebel. (2018). Profile Hidden Markov Models for Foreground Object Modelling. IEEE SigPort. http://sigport.org/3663
Francisco Florez-Revuelta, Jean-Christophe Nebel, 2018. Profile Hidden Markov Models for Foreground Object Modelling. Available at: http://sigport.org/3663.
Francisco Florez-Revuelta, Jean-Christophe Nebel. (2018). "Profile Hidden Markov Models for Foreground Object Modelling." Web.
1. Francisco Florez-Revuelta, Jean-Christophe Nebel. Profile Hidden Markov Models for Foreground Object Modelling [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3663