Real-Time Face Detection System for Virtual Classroom Environment
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 7
Abstract
In today’s fast paced world where human computer interaction systems are working towards becoming more user-friendly. Face detection has become an integral part of many of these systems. It also has varying range of applications in areas such as Content-Based Image Retrieval, Public Surveillance, Video Coding, Video Conferencing, Emotion Detection, Lie Detectors and Virtual Classroom Environments. The existing systems make use of training images which consists of huge image database for training purpose. Going through such a huge database is a long-drawn-out task. Also the prerequisites of some of these systems involve the usage of a high-end camera which is a very costly affair. The proposed system is virtual classroom specific and makes use of HAAR Cascade Classifiers to detect the face in real-time possible. The system is cost-effective as a simple webcam has been used to achieve the desired outcome. The results obtained making use of the HAAR Cascade Classifiershas shown a highperformance rate ascompared to other systems working on the similar lines.
Authors and Affiliations
Swapnil S. Potnis, Aditi S. Jahagirdar
Keywords
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