Masked Face Detection using the Viola Jones Algorithm: A Progressive Approach for less Time Consumption

Abstract

<p>The use of CCTV surveillance is today’s need in<br />public and private sector for ensuring security against terrorism<br />and robbery. Regular expressions are used to signify enormous<br />sets of motion attributes captured in video. The video vigilance<br />is popular system without using human interference to capture<br />important scenes. The motive of the work is to introduce automatic<br />revelation of masked objects in real time with a surveillance<br />camera. The main aim is to detect masked person automatically<br />in less time period. In this paper,the researcher proposes a system<br />that consists methods which uses four variant steps that are the<br />steps of calculating distance range of person from the camera,<br />eye or vision line detection and face part detection such as<br />mouth detection and face detection. Performance of proposed<br />algorithm is carried out on various real time inputs. Experimental<br />evaluation shows that proposed algorithm exceeds better in terms<br />of time consumption. This unique approach for the problem<br />has created a method transparent and easier in complexity so<br />that the real time implementation can be made beneficial and<br />workable. Analysis of the algorithms fulfillment on the test video<br />track gives appropriate judgments for additional improvements<br />in the masked face detection performance. Finally, based on the<br />research, the axioms were useful for the work which can be<br />usually accessible from available algorithms.</p>