NDLI: Real-time 2D hands detection and tracking for sign language recognition

Content Provider	IEEE Xplore Digital Library
Author	Shuqiong Wu Nagahashi, H.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Tokyo, Japan (Shuqiong Wu) \|\| Imaging Sci. & Eng. Lab., Tokyo Inst. of Technol., Tokyo, Japan (Nagahashi, H.)
Abstract	Detecting and tracking unconstrained hands in videos is a basic technique for sign language recognition. In current hand detection methods, AdaBoost classifier based on Haar-like features is known to be fast and robust against scale change and rotation. However, its performance drops sharply when the background is complicated or the hand and other skin-color parts overlap. Insufficient training data also decreases the performance. This paper proposes a new training method for Haar-like features based AdaBoost classifier with insufficient data, and a hand detector integrating Haar-like features, skin-color and motion cue together. Also we present a novel hand tracking technique. Experimental results have shown that the proposed method obtains a promising detecting rate of 99.9%, and more than 97.1% of the tracked hands are extracted in proper size. In summary the proposed method is more robust than AdaBoost classifier against complicated background, scale change and rotation.
Sponsorship	IEEE Reliability Soc.
Starting Page	40
Ending Page	45
File Size	2428741
Page Count	6
File Format	PDF
ISBN	9781467355964
e-ISBN	9781467355971
DOI	10.1109/SYSoSE.2013.6575240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Image color analysis Feature extraction Videos Training Face AdaBoost Haar-like features Frame difference
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@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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