University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Person tracking using audio and depth cues

Liu, Q, deCampos, T, Wang, W, Jackson, P and Hilton, H (2015) Person tracking using audio and depth cues In: International Conference on Computer Vision (ICCV) Workshop on 3D Reconstruction and Understanding with Video and Sound, 2015-12-11 - 2015-12-15, Santiago, Chile.

[img]
Preview
Text
paper.pdf - Author's Original
Available under License : See the attached licence file.

Download (2MB) | Preview
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

In this paper, a novel probabilistic Bayesian tracking scheme is proposed and applied to bimodal measurements consisting of tracking results from the depth sensor and audio recordings collected using binaural microphones. We use random finite sets to cope with varying number of tracking targets. A measurement-driven birth process is integrated to quickly localize any emerging person. A new bimodal fusion method that prioritizes the most confident modality is employed. The approach was tested on real room recordings and experimental results show that the proposed combination of audio and depth outperforms individual modalities, particularly when there are multiple people talking simultaneously and when occlusions are frequent.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Liu, QUNSPECIFIEDUNSPECIFIED
deCampos, TUNSPECIFIEDUNSPECIFIED
Wang, WUNSPECIFIEDUNSPECIFIED
Jackson, PUNSPECIFIEDUNSPECIFIED
Hilton, HUNSPECIFIEDUNSPECIFIED
Date : 11 December 2015
Copyright Disclaimer : This paper is published with Open Access. Copyright remains with The Authors
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 06 Sep 2016 17:02
Last Modified : 06 Sep 2016 17:02
URI: http://epubs.surrey.ac.uk/id/eprint/811760

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800