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Nixon, Mark S. (University Of Southampton); Tan, Tieniu; Chellappa, Dr. Rama - Human Identification Based on Gait - 9781441937421 - V9781441937421
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Human Identification Based on Gait

€ 126.80
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Description for Human Identification Based on Gait Paperback. Series: International Series on Biometrics. Num Pages: 198 pages, 101 black & white illustrations, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 288.

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

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Product Details

Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
198
Condition
New
Series
International Series on Biometrics
Number of Pages
188
Place of Publication
New York, NY, United States
ISBN
9781441937421
SKU
V9781441937421
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Human Identification Based on Gait
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 ... Read more

Goodreads reviews for Human Identification Based on Gait


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