Detection of Human Facial Parts Using Viola-Jones Algorithm in Group of Faces

Detection of Human Facial Parts Using Viola-Jones Algorithm in Group of Faces

Narayan Kulkarni (School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, India) and Ashok V. Sutagundar (Dr. H. S. Fadewar, School of Computational Sciences, SRTM University, India)
Copyright: © 2019 |Pages: 10
DOI: 10.4018/IJAEC.2019010103


Face detection is an image processing technique used in computer system to detect face in digital image. This article proposes an approach to detect faces and facial parts from an image of a group of people using the Viola Jones algorithm. Face detection is used in face recognition and identification systems. Automatic face detection and recognition is most challenging and a fast-growing research area in real-time applications like CC TV surveillance, video tracking, facial expression recognition, gesture recognition, human computer interaction, computer vision, and gender recognition. For face detection purposes various techniques and methods are applied in a computer system. In proposed system, a Viola Jones algorithm is implemented for multiple faces and facial parts and detected with a high rate of accuracy.
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3. Facial Part And Face Detection

3.1. Viola – Jones Face Detection

Paul Viola Jones & Michael Jones in year 2001 presented a method. Which was the first approach to give better rates in object detection. It is also used in object detection in real time system but largely applied to face detection area due to its high detection rate and determining face and non face as compared other algorithm. Now a days Viola Jones is a very popular and effective technique. Which require very less computation time with very high accuracy. It is fast and robust algorithm used in face detection. In MATLAB Computer Vision Toolbox contains several object detector functions Viola Jones algorithm is one of them.

This algorithm has four stages as shown in the following section.

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