Conclusions and Future Work

  • Bir Bhanu
  • Ju Han
Part of the Advances in Pattern Recognition book series (ACVPR)


This book has focused on human recognition at a distance by integrating gait and face in video. The research has demonstrated that the proposed video-based fusion system is effective for human identification. The representation of face and gait, where both fuse information from multiple video frames, is promising in real-world applications. The integration of face and gait biometrics will be highly useful in practical applications. Several important problems are addressed in this book. A summary of key contributions in gait-based human recognition, video-based face recognition and fusion of gait and face for individual recognition is given in this chapter.


Face Recognition Face Image Gait Feature Gait Recognition Feature Level Fusion 
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.


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Copyright information

© Springer-Verlag London Limited 2010

Authors and Affiliations

  1. 1.Bourns College of EngineeringUniversity of CaliforniaRiversideUSA
  2. 2.Lawrence Berkeley National LaboratoryUniversity of CaliforniaBerkeleyUSA

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