Conclusions and Future Work

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 


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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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