International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,November 2017,

Topic : Detection of Human Face in a Meeting Using Audio Sensitive Camera

Authors:Giridhar N R || Aniketh M, Ashish Kumar Vishwakarma, Ganesh Prateek L, Dr. Jharna Majumdar

Abstract:A meeting outcome is a desired result or product that will be achieved by the end of the meeting. It is also necessary to take note of key points made in the meeting. In this paper, we achieve this goal using an autonomous system. The entire system is built on both hardware and software components. The system is developed on an embedded board containing a video recording camera, audio sensors and a Dynamixel motor. The camera rotates in the direction the sound originates and starts to record. The recorded video is fed to the software part where face detection is done. Face detection is a computer technology that is used to identify human faces in digital images. We make use of three colour models like RGB, HSV and YCbCr to perform skin segmentation to obtain probable regions where the human face is present. We determine the best colour model which is suitable for skin segmentation. From the segmented image obtained from the previous step, Lucas-Kanade Optical Flow Method [6] is used in determining the location of the face in the frame. .

Keywords: Embedded board, Audio sensors, Camera, Shell Scripting, Color models, Skin Segmentation, Optical Flow method.

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DOI: 01.1617/vol4/iss11/pid08127


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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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