NDLI: Adaptive human silhouette extraction with chromatic distortion and contour tracking

Content Provider	IEEE Xplore Digital Library
Author	Schiel, J. Green, R.
Copyright Year	2013
Description	Author affiliation: Dept. of Mechatron. Eng., Univ. of Canterbury, Christchurch, New Zealand (Schiel, J.) \|\| Dept. of Comput. Sci., Univ. of Canterbury, Christchurch, New Zealand (Green, R.)
Abstract	This paper proposes a method to increase the accuracy of human silhouette extraction using background subtraction. Most silhouette extraction algorithms identify shadows when they should not, fail when illumination changes and absorb stationary objects into the background model. An algorithm is proposed that separates the chromatic and brightness changes in a video to clearly differentiate foreground features from background. Large chromatic differences between foreground and background data are used to overcome the effects of illumination changes and differences in brightness are used to overcome shadowing. Chromatic and brightness data collected over 10 frames in a video showed that chromatic distortions in the range (40, 65) indicate foreground objects and brightness distortions below 0.6 indicate shadows. Objects were prevented from disappearing into the background model by tracking the silhouette contours and adaptively updating the background. Experiments showed that silhouette regions should have a background model size of 30 frames while non-silhouette regions should have 5 frames. The proposed method successfully removed shadows and accurately output contours of human silhouettes under varying lighting conditions.
Sponsorship	IEEE New Zealand Central Sect.
Starting Page	288
Ending Page	292
File Size	4725298
Page Count	5
File Format	PDF
ISSN	21512191
e-ISBN	9781479908837
DOI	10.1109/IVCNZ.2013.6727031
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-27
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brightness background modelling Equations Shadow mapping Histograms Image color analysis Lighting brightness disparity Silhouette extraction chromatic disparity Mathematical model background subtraction contour tracking
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