Real Time Multi Face Blurring on Uncontrolled Environment based on Color Space algorithm

  • Alya'a R. Ali Department of Computer Science, College of science, Al-Nahrain University, Baghdad, Iraq
  • Ban N. Dhannoon Department of Computer Science, College of science, Al-Nahrain University, Baghdad, Iraq
Keywords: Viola-Jones algorithm, Face detection, Face tracking, Color space, Real time

Abstract

Faces blurring is one of the important complex processes that is considered one of the advanced computer vision fields. The face blurring processes generally have two main steps to be done. The first step has detected the faces that appear in the frames while the second step is tracking the detected faces which based on the information extracted during the detection step. In the proposed method, an image is captured by the camera in real time, then the Viola Jones algorithm used for the purpose of detecting multiple faces in the captured image and for the purpose of reducing the time consumed to handle the entire captured image, the image background is removed and only the motion areas are processed. After detecting the faces, the Color-Space algorithm is used to tracks the detected faces depending on the color of the face and to check the differences between the faces the Template Matching algorithm was used to reduce the processes time. Finally, the
detected faces as well as the faces that were tracked based on their color were obscured by the use of the Gaussian filter. The achieved accuracy for a single face and dynamic background are about 82.8% and 76.3% respectively.

Published
2019-07-19
How to Cite
Ali, A. R., & Dhannoon, B. N. (2019). Real Time Multi Face Blurring on Uncontrolled Environment based on Color Space algorithm. Iraqi Journal of Science, 60(7), 618-1626. https://doi.org/10.24996/ijs.2019.60.7.22
Section
Computer Science