NDLI: Impact of each camera on multiple camera visual speech recognizer using ANOVA: A brief study

Content Provider	IEEE Xplore Digital Library
Author	Biswas, A. Sahu, P.K. Chandra, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Birla Inst. of Technol., Mesra, India (Chandra, M.) \|\| Dept. of Electr. Eng., Nat. Inst. of Technol., Rourkela, India (Biswas, A.; Sahu, P.K.)
Abstract	Multiple camera fusion technique is an imperative part of multi-camera computer vision applications. Visual modality plays a vital role in computer vision systems when the acoustic modality is corrupted by the background noise. Multiple camera protocol allows the user to move freely and can provide complementary information to each other. This study shows the influence of each camera on visual speech recognizer using the one-way analysis of variance (ANOVA). We choose a real world four cameras audio-visual corpus “AVICAR” for this study. ANOVA is applied to the each pair of the camera to explore the effect of different viewing angle. This ANOVA test shows the influence of side and central faced camera on AVICAR visual speech recognizer (VSR). Based on the ANOVA F-statistics test multiple camera streams are fused into one visual feature vector. Dynamic visual speech information is captured using Motion History Images (MHI). Zernike Moments (ZM) are used as the visual feature to carry out the study. Four camera visual features show ample improvement over single camera visual features across all driving condition.
Starting Page	1
Ending Page	5
File Size	645406
Page Count	5
File Format	PDF
ISBN	9781479986392
ISSN	21593450
e-ISBN	9781479986415
DOI	10.1109/TENCON.2015.7372979
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Speech Zernike Moments Visual speech recognition ANOVA Multiple camera fusion
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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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
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