Call For Paper Volume:4 Issue:10 Oct'2017 |

Recognizing faces from videos using Clustering, Re-ranking & Fusion

Publication Date : 31/03/2015

Author(s) :

Prachi Sharad Vispute , Nisha Deoram Sonawane , charushila Uttam Mahale , Mazhar Shaikh.

Volume/Issue :
Volume 2
Issue 3
(03 - 2015)

Abstract :

In Today’s World, availability of large intra-personal variations in video and limited information content in still images, video-based face recognition became a Powerful mechanisms. Unlike still face images, videos provide abundant & more detail information that can be leveraged to address as enhance the face recognition performance. Variations in pose, illumination and expression as well as enhanced the face recognition performance. Our Project presents a video-based face recognition algorithm that computes a discriminative video signature as an ordered list of still face images from a large dictionary. we are using ,A 3-stage approach is proposed for optimizing ranked lists across multiple video frames and fusing them into a single composite ordered list to compute the video signature. This signature involves intra-personal variations and facilitates in matching two videos with large variations. For matching two videos, an open CV Algorithm is used, which uses the ranking of images in the video signature as well as the usefulness of images in characterizing the individual in the video.

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Recognizing faces from videos using Clustering, Re-ranking & Fusion

March 20, 2015