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Description: The studies of human body motion have been motivated by a large number of application domains: visual surveillance,clinical analysis, computer animation, athletic performance
analysis, robotics, and biometrics. Moreover, human motion analysis has many challenging issues, because the highly flexible structure and self-occlusion of the human body mandates complicated processes for the segmentation and
analysis of motion:The motion of the human
body may be defined by the movement of various body parts such as hand or limb segments. The human body consists of
several rigid parts connected by the joints, but the motion of a full human-body is non-rigid and articulated . Human gait (walking and running) is known to be one of the most universal and complex of all human activities.
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Size: 286720 |
Author: dijaben |
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Description: The matlab code contains feature extraction of Hand goemetry in biometrics
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Size: 2048 |
Author: killer |
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Description: Try a simple experiment, try to visualize what your ears look like. You were not able
to? Well, then try to describe the ears of someone you see everyday. You will find
that even if you are looking directly at someone s ears, they are still difficult to
describe. We simply do not have the vocabulary for it our everyday language
provides only a few adjectives which can be applied to ears, all of which are generic
adjectives like large or floppy and not ones which are solely^ used to describe ears.
On the other hand, we are all capable of describing the faces of even briefly glimpsed
strangers with significant detail to allow police artists to reconstruct remarkable
resemblances of them. Even though we apparently lack the means to recognize one
another from our ears, we will see that the rich structure of the ear is unique and that it
can be used as an effective biometric for passive identification.-Try a simple experiment, try to visualize what your ears look like. You were not able
to? Well, then try to describe the ears of someone you see everyday. You will find
that even if you are looking directly at someone s ears, they are still difficult to
describe. We simply do not have the vocabulary for it our everyday language
provides only a few adjectives which can be applied to ears, all of which are generic
adjectives like large or floppy and not ones which are solely^ used to describe ears.
On the other hand, we are all capable of describing the faces of even briefly glimpsed
strangers with significant detail to allow police artists to reconstruct remarkable
resemblances of them. Even though we apparently lack the means to recognize one
another from our ears, we will see that the rich structure of the ear is unique and that it
can be used as an effective biometric for passive identification.
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Size: 1013760 |
Author: ismaail |
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Description: 本文介绍了,生物概念以及生物识别几大类:指纹识别、手掌几何识别、视网膜识别、声音识别、静脉识别、步态识别。-This article describes the biological concept and biometric categories: fingerprint recognition, hand geometry recognition, retina recognition, voice recognition, vein recognition, gait recognition.
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Size: 122880 |
Author: 谭海波 |
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Description: In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. Compared to other biometrics, gait has some unique characteristics. The most attractive feature of gait as a biometric trait is its unobtrusiveness, i.e., the fact that, unlike other biometrics, it can be captured at a distance and without requiring the prior consent of the observed subject. Most other biometrics such as finger prints, face, hand geometry, iris, voice, and signature can be captured only by physical contact or at a close distance the recording probe.-In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. Compared to other biometrics, gait has some unique characteristics. The most attractive feature of gait as a biometric trait is its unobtrusiveness, i.e., the fact that, unlike other biometrics, it can be captured at a distance and without requiring the prior consent of the observed subject. Most other biometrics such as finger prints, face, hand geometry, iris, voice, and signature can be captured only by physical contact or at a close distance the recording probe.
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Size: 556032 |
Author: anurag |
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