Analysis of Attention Identification and Recognition of Faces through Segmentation and Relative Visual Saliency (SRVS)

Abstract

Abstract Attentiveness, identification and recognition of a human face in a crowd play a starring role in the perspective of visual surveillance. Human vision system is not attending, identifying and recognizing all the faces with the same perception. It is biased towards some faces in the crowd due to their higher relative visual saliency and segment wise perception with respect to the surroundings faces. Using different computer vision-based techniques enormous researches have been carried out on attention, recognition and identification of the human face in context of different applications. This paper proposes a novel technique to explain and analyse how the attention, identification and recognition of a face in the crowd guided through segmentation and their relative visual saliency. The proposed method is stretched out the solution, using the concept of segmentation and relative visual saliency which is evaluated on the intensity values and respective spatial distance of the faces.