Mark S. Nixon, Tieniu Tan, Rama Chellappa

Human Identification Based on Gait (eBook, PDF)

• Format: PDF

Produktbeschreibung

Biometrics now affect many people's lives, and is the focus of much academic research and commercial development. Gait is one of the most recent biometrics, with its own unique advantages. Gait recognizes people by the way they walk and run, analyzes movement,which in turn implies analyzing sequences of images.

This professional book introduces developments from the laboratories of very distinguished researchers within this relatively new area of biometrics and clearly establishes human gait as a biometric. Human Identification Based on Gait provides a snapshot of all the biometric work in human identification by gait (all major centers for research are indicated in this book). To complete the picture, studies are included from medicine, psychology and other areas wherein we find not only justification for the use of gait as a biometric, but also pointers to techniques and to analysis.

Human Identification Based on Gait is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 188
• Erscheinungstermin: 26. Mai 2010
• Englisch
• ISBN-13: 9780387294889
• Artikelnr.: 37287438

Autorenporträt

Mark S. Nixon, University of Southampton, UK / Tieniu N. Tan, Chinese Academy of Sciences, China / Rama Chellappa, University of Maryland, College Park, MD, USA

Inhaltsangabe

Subjects Allied to Gait.- Gait Databases.- Early Recognition Approaches.- Silhouette-Based Approaches.- Model-Based Approaches.- Further Gait Developments.- Future Challenges.

Rezensionen

From the reviews: "Human Identification Based on Gait is authored by three famous professors from three prestigious universities that are located on three different continents. ... They have also worked on many vision problems related to motion processing and analysis ... . the authors have done a great job in making this book a standard reference on automatic gait recognition. ... a lot of opportunity for further research and development exists in the area of automatic gait recognition. This should excite and motivate interested students and researchers." (IAPR Newsletter, November, 2005) "An in-depth analysis of the state of the art in gait-based human identification is provided in this book. ... The book cover clearly identifies the volume as one aimed at a professional audience ... . A person interested in human-movement modeling and authentication would benefit from reading the first step in understanding both the capabilities and limitations of the field." (Stefan Robila, Computing Reviews, November, 2006)