Novel methodology for guiding attention of faces through relative visual saliency (RVS)

Abstract

Identification of a human face in a crowded flux plays an important role in the context of surveillance. Considerable amount of research has been carried out on face identification in different applications. Accordingly, different researchers propose new algorithms. This paper attempts to showcase a novel methodology through which any face may be identified in a large crowd of human face. This proposed technique is based on relative visual saliency which is evaluated on the intensity values and respective spatial distance of the faces. In addition to visual saliency, top-down and bottom-up approaches to visual attention are also presented and explained in the context of face identification. Both of these two approaches are considered to be made a significant contribution while visual saliency is measured for attention-based face identification. Experiment has been carried out on test image dataset. The results are satisfactory and accuracy has also been measured. The evaluation made with the proposed approach exhibits quite encouraging results and accuracy leads to a future model of human face tracking and recognition system.