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  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.
Big data analysis for Information and Pattern discovery – A case study with reference to jordyblue.com
Authors: R. Divyavathi ||
Doi : 01.1617/vol2iss10pid114
Volume2 ,October 2017.
Authors: Prof.Karimella Vikram || Dr, K.Madhushdhan
Doi : 01.1617/vol4/iss3/pid74365
Volume4 ,March 2017.
Authors: Ambika Gupta || Dr. Priti Dimri, Dr. R. M. Bhatt
Doi : 01.1617/vol5/iss2/pid97418
Volume5 ,February 2017.
Authors: C.Selvalakshmi || M.Karthikeyan
Doi : 01.1617/vol5/iss3/pid51823
Volume5 ,March 2017.
Authors: Likhitha M || Nidhi S, Kavya S, Khaja mohiddin S, Vinutha prashanth
Doi : 01.1617/vol5/iss4/pid89016
Volume5 ,April 2017.