NDLI: Robust hand gestures tracking method in cluttered background based on multilayer perceptron

Content Provider	IEEE Xplore Digital Library
Author	Heidaryan, M. Farokhi, F.
Copyright Year	2015
Description	Author affiliation: Sci. Assoc. of Electr. & Electron. Eng., Islamic Azad Univ. Central Tehran Branch, Tehran, Iran (Heidaryan, M.; Farokhi, F.)
Abstract	This paper presents the use of multilayer perceptron (MLP) neural network with supervised learning algorithm to track hand gestures. Two networks are used. The first network is trained to detect skin and the second identifies face, hand and its gesture. A binary image made from the first network is transmitted to second network as its input. Both networks have two output classes, first network: skin and non skin in the other network due to existence of hand and face in binary image, first class is gestures of hand and second class is face. Hand gestures are divided into 5 cases: hand closed, hand open, two fingers (victory), three fingers and Index and Little finger. The two networks are applied on video sequence frame to frame. Features in the second network are selected so that tracking is independent from size and rotation of hand and computation is decreased because of excising common terms between DFT and DCT. Results show both networks have high accuracy. Matlab is used and not claim real time processing (2 fps) but in our future work these two networks are implemented on FPGA in real time.
Starting Page	93
Ending Page	99
File Size	1350012
Page Count	7
File Format	PDF
ISBN	9781467392808
DOI	10.1109/ICCKE.2015.7365866
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-29
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MLP Sensitivity Image resolution DFT Computed tomography DCT Neurons Skin Detection Skin Discrete cosine transforms Invariant moments Field programmable gate arrays
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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