Face Tracking and Recognition in Video

Abstract

In this chapter, we describe the utility of videos in enhancing performance of image-based recognition tasks. We discuss a joint tracking-recognition framework that allows for using the motion information in a video to better localize and identify the person in the video using still galleries. We discuss how to jointly capture facial appearance and dynamics to obtain a parametric representation for video-to-video recognition. We discuss recognition in multi-camera networks where the probe and gallery both consist of multi-camera videos. Concluding remarks and directions for future research are provided.