NDLI: Multi features hybrid Active Shape Model for automated lip contours tracking in video sequence

Content Provider	IEEE Xplore Digital Library
Author	Quoc Dinh Nguyen Milgram, M. Thi-Hoang-Lan Nguyen
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Hanoi Univ. of Technol., Hanoi (Thi-Hoang-Lan Nguyen) \|\| Inst. of Intell. Syst. & Robot., Pierre & Marie Curie Univ. (Paris 6), Paris (Quoc Dinh Nguyen; Milgram, M.)
Abstract	We propose and evaluate a novel method for enhancing performance of lips contour tracking, which is based on the concept of active shape models (ASM) and multi features. On the first image of the video sequence, lip region is detected using the Bayesian's rule in which lip color information is modeled by a Gaussian mixture model (GMM) which is trained by expectation-maximization (EM) algorithm. The lip region is then used to initialize the lip shape model. A single feature-based ASM presents good performance only in particular conditions but gets stuck in local minima for noisy conditions (like beard, wrinkle, poor texture, low contrast between lip and skin, etc). To enhance the convergence, we propose to use 2 features: normal profile and grey level patches, and combine them with a voting approach. The standard ASM is not able to take into account temporal information from previous frames therefore the lip contours are tracked by replacing the standard ASM with a hybrid active shape model (HASM) which is capable to take advantage of the temporal information. Initial experimental results on video sequences show that MF-HASM is more robust to local minimum problem and gives a higher accuracy than traditional single feature-based method in lip tracking problem.
Starting Page	1
Ending Page	5
File Size	676794
Page Count	5
File Format	PDF
ISBN	9781424431250
ISSN	15505219
DOI	10.1109/AIPR.2008.4906456
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active shape model Video sequences Robustness Active appearance model Mouth Face detection Intelligent robots Lips Voting Hybrid intelligent systems Voting approach Lip detection lip tracking lipreading Active Shape Models
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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