Mark S. Nixon, Tieniu Tan, Rama Chellappa

Human Identification Based on Gait (eBook, PDF)

• Format: PDF

Produktbeschreibung

This is the first book to address gait as a biometric. Recognizing people by the way they walk and run requires analyzing movement which, in turn, requires analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces new work from distinguished researchers in this relatively new area of biometrics. This book clearly establishes how human gait is biometric.

This book is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.

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Produktdetails

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

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)