Audio visual tracking of a speaker based on FFT and Kalman filter

In this paper a simple audio visual information based speaker tracking technique is proposed for indoor environment. Specifically, a Kalman filter based image processing technique is used to extract visual information, and Fast Fourier Transform (FFT) based approach is used to extract audio informat...

Full description

Main Authors: Muzammel, M., Yusoff, M.Y., Saad, M.N.M., Malik, A.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.25500 /
Published: Asian Research Publishing Network 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205098&partnerID=40&md5=96cfaf1dea309b9b5c1d19991c3747a4
http://eprints.utp.edu.my/25500/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.25500
recordtype eprints
spelling utp-eprints.255002021-08-27T13:03:09Z Audio visual tracking of a speaker based on FFT and Kalman filter Muzammel, M. Yusoff, M.Y. Saad, M.N.M. Malik, A.S. In this paper a simple audio visual information based speaker tracking technique is proposed for indoor environment. Specifically, a Kalman filter based image processing technique is used to extract visual information, and Fast Fourier Transform (FFT) based approach is used to extract audio information for speaker tracking. Finally, a decision tree has been used to estimate the location of the speaker based on audio and visual information. One of the main advantages of the proposed technique is the use of a built-in microphone of the tracking camera; which makes this technique cost effective and simple. We have examined our method with case studies from the online SPEVI database. The proposed technique shows the best detection and works properly even when the speaker is not visible. © 2006-2016 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205098&partnerID=40&md5=96cfaf1dea309b9b5c1d19991c3747a4 Muzammel, M. and Yusoff, M.Y. and Saad, M.N.M. and Malik, A.S. (2016) Audio visual tracking of a speaker based on FFT and Kalman filter. ARPN Journal of Engineering and Applied Sciences, 11 (14). pp. 8947-8951. http://eprints.utp.edu.my/25500/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper a simple audio visual information based speaker tracking technique is proposed for indoor environment. Specifically, a Kalman filter based image processing technique is used to extract visual information, and Fast Fourier Transform (FFT) based approach is used to extract audio information for speaker tracking. Finally, a decision tree has been used to estimate the location of the speaker based on audio and visual information. One of the main advantages of the proposed technique is the use of a built-in microphone of the tracking camera; which makes this technique cost effective and simple. We have examined our method with case studies from the online SPEVI database. The proposed technique shows the best detection and works properly even when the speaker is not visible. © 2006-2016 Asian Research Publishing Network (ARPN).
format Article
author Muzammel, M.
Yusoff, M.Y.
Saad, M.N.M.
Malik, A.S.
spellingShingle Muzammel, M.
Yusoff, M.Y.
Saad, M.N.M.
Malik, A.S.
Audio visual tracking of a speaker based on FFT and Kalman filter
author_sort Muzammel, M.
title Audio visual tracking of a speaker based on FFT and Kalman filter
title_short Audio visual tracking of a speaker based on FFT and Kalman filter
title_full Audio visual tracking of a speaker based on FFT and Kalman filter
title_fullStr Audio visual tracking of a speaker based on FFT and Kalman filter
title_full_unstemmed Audio visual tracking of a speaker based on FFT and Kalman filter
title_sort audio visual tracking of a speaker based on fft and kalman filter
publisher Asian Research Publishing Network
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979205098&partnerID=40&md5=96cfaf1dea309b9b5c1d19991c3747a4
http://eprints.utp.edu.my/25500/
_version_ 1741196985082314752
score 11.62408

Similar Items