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Face Tracking and Recognition in Video

  • Rama Chellappa
  • Ming Du
  • Pavan Turaga
  • Shaohua Kevin Zhou

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.

Keywords

Face Recognition Video Sequence Spherical Harmonics Grassmann Manifold Dynamic Texture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Supported by a MURI Grant N00014-08-1-0638 from the Office of Naval Research. The authors would like to thank Dr. Aswin Sankaranarayanan for helpful discussions related to Sect. 13.5.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Rama Chellappa
    • 1
  • Ming Du
    • 1
  • Pavan Turaga
    • 1
  • Shaohua Kevin Zhou
    • 2
  1. 1.Department of Electrical and Computer Engineering, Center for Automation ResearchUniversity of MarylandCollege ParkUSA
  2. 2.Siemens Corporate ResearchPrincetonUSA

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