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Mark S. Nixon, Tieniu Tan, Rama Chellappa - Human Identification Based on Gait, Inbunden

Inbunden, Engelska, 2005

Del i serien International Series on Biometrics

Human Identification Based on Gait

Av Mark S. Nixon, Tieniu Tan, Rama Chellappa

1449 kr

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Beskrivning
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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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)

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