NDLI: Audio-visual sensor fusion system for intelligent sound sensing

Content Provider	IEEE Xplore Digital Library
Author	Takahashi, K. Yamasaki, H.
Copyright Year	1994
Description	Author affiliation: Dept. of Commun. & Syst. Eng., Univ. of Electro-Commun., Chofu, Japan (Takahashi, K.)
Abstract	An intelligent sensing system is proposed, which extracts a target sound signal autonomously from multi-microphone signals corrupted by interference ambient noise. Although many types of intelligent signal receivers with multiple sensors have been proposed recently, the use of audio-visual sensor fusion techniques is a special feature of the system described here. This sensor fusion system can be divided into two subsystems: an audio subsystem and a visual subsystem. The audio subsystem extracts a target signal with a digital filter composed of tapped delay lines and adjustable weights. These weights are renewed by a special adaptive algorithm, which is called the "cue signal method". For adaptation, the cue signal method needs only a narrow bandwidth signal which correlates with the power level of the target signal. This narrow bandwidth signal is called the "cue signal". The role of the visual subsystem is, therefore, to generate a cue signal. The authors have already proposed methods for generating a cue signal using video images. Sensor fusion of audio and visual information was accomplished by simple methods. In this paper, two new sensor fusion techniques are proposed. One is a method for generating a cue signal using not only video images but also microphone signals, and the other is a method for generating a cue signal using microphone signals, video images and internal knowledge. Both are a hierarchical sensor fusion of audio and visual information. In order to evaluate and demonstrate the sensor fusion algorithm, a real-time processing system including seventy DSPs was constructed. The architecture of this system is also described.
Starting Page	493
Ending Page	500
File Size	798225
Page Count	8
File Format	PDF
ISBN	0780320727
DOI	10.1109/MFI.1994.398413
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor fusion Intelligent systems Intelligent sensors Fusion power generation Signal generators Bandwidth Microphones Ambient intelligence Interference Acoustic noise
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in