Impact of illumination and it's analysis on exact face boundary detection

  • Mrs. A.Brindha, Dr. K.A.Sunitha, Ayush Soni, SmrutiSuresh

Abstract

The main aim of this project work is to mark the boundaries of human faces in a surveillance video. Since the proposed application is for real-time video streaming performed in an uncontrolled environment, the faces of humans can be disturbed by various factors such as occlusion (error due to motion), overlapping (multiple faces in a frame), illumination errors, etc. The current face detection algorithms like Principle component analysis, Haar Cascade algorithm, Skin color-based algorithms like RGB and HSI are unable to provide exact boundary marking accurately and also not able to overcome these errors. To overcome these challenges an improved algorithm using a combination of shape-based feature extraction and texture-based extraction, that can mark the edges of human faces also removes the illumination effect while the video is streaming with a surveillance camera is proposed. This algorithm will remove the illumination effect and will remove the contours to output the exact boundaries of face.

Published
2020-06-01
How to Cite
Mrs. A.Brindha, Dr. K.A.Sunitha, Ayush Soni, SmrutiSuresh. (2020). Impact of illumination and it’s analysis on exact face boundary detection. International Journal of Advanced Science and Technology, 29(7), 11253-11258. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/27547
Section
Articles