Human Identification Based on Gait

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Springer Science & Business Media, May 26, 2010 - Computers - 188 pages

Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most recent biometrics. Recognizing people by the way they walk and run implies analyzing movement which, in turn, implies analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces developments from distinguished researchers within this relatively new area of biometrics. This book clearly establishes how human gait is biometric.

Human Identification Based on Gait is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.


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1 Introduction
2 Subjects Allied to Gait
3 Gait Databases
4 Early Recognition Approaches
5 SilhouetteBased Approaches
6 ModelBased Approaches
7 Further Gait Developments
8 Future Challenges
9 Appendices

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About the author (2010)

Rama Chellappa is Minta Martin Professor of Engineering and an affiliate Professor of Computer Science at University of Maryland, College Park. He is also affiliated with the Center for Automation Research and UMIACS, and is serving as the Chair of the ECE department. He is a recipient of the K.S. Fu Prize from IAPR and the Society, Technical Achievement and Meritorious Service Awards from the IEEE Signal Processing Society. He also received the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. In 2010, he was recognized as an Outstanding ECE by Purdue University. He is a Fellow of IEEE, IAPR, OSA and AAAS, a Golden Core Member of the IEEE Computer Society, and has served as a Distinguished Lecturer of the IEEE Signal Processing Society as well as the President of IEEE Biometrics Council.