NDLI: Emblem Detections by Tracking Facial Features

Content Provider	IEEE Xplore Digital Library
Author	Kanaujia, A. Yuchi Huang Metaxas, D.
Copyright Year	2006
Description	Author affiliation: Rutgers University (Kanaujia, A.)
Abstract	Tracking facial features across large head rotations is a challenging research problem. Both 2D and 3D model based approaches have been proposed for feature analysis from multiple views. Accurate feature tracking enables useful video processing applications like emblem detection(an event or movement that symbolizes an idea), facial expressions recognition, morphing and synthesis. A crucial requirement is generalizability of the tracking framework across appearance variations, presence of facial hair and illumination changes. We propose a framework to detect emblems that combines active shape model with a predictive face aspect model to track features across large head movements and runs close to real time. Active Shape Model(ASM) is a deformable model for shape registration that detect facial features by combining prior shape information with the observed image data. Our view based framework represents various head poses by multiple 2D shape models and accounts for large head rotations by dynamically switching between them. Our switching variable (the current model to use) is discriminatively predicted from the SIFT descriptors computed over the bounding box of low resolution face image. We demonstrate the use of tracking framework to recognize high level events like head nodding, shaking and eye blinking.
Starting Page	108
Ending Page	108
File Size	898689
Page Count	1
File Format	PDF
ISBN	0769526462
DOI	10.1109/CVPRW.2006.69
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Hair Head Tracking Event detection Face recognition Predictive models Active shape model Face detection Facial features
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