Titlebook: Human Identification Based on Gait; Mark S. Nixon,Tieniu Tan,Rama Chellappa Book 2006 Springer-Verlag US 2006 biometrics.cognition.compute

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Further Gait Developments,rithms that are view invariant. When individuals walk at an angle oblique to the camera, the performance of gait recognition systems suffers due to the gradual change in the individual’s height and stride length as captured by the camera.

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Book 2006ople‘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 onl

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Book 2006 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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Introduction,not be perceivable. Consider an image from a surveillance camera as in .: the subject’s face can be obscured, their hands are at too low a resolution for recognition by shape; it would be pointless even to attempt to recognize subjects by iris or fingerprint pattern. In many scene-of-crime data, the

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Subjects Allied to Gait,recognized by the way they walk. The same notion has been observed in medicine and biomechanics, though not in the context of biometrics but more as an assertion of individuality. Perhaps driven by these notions, though without reference to them, there has been work in psychology on the human abilit

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Early Recognition Approaches,e then. As illustrated by ., many sought to derive a human silhouette from an image and, as common in pattern recognition, and then to derive a description which can be associated with the identity of the subject. This gives a ‘statistical’ approach to automatic gait recognition wherein the image se