NDLI: Gait recognition using static, activity-specific parameters

Content Provider	IEEE Xplore Digital Library
Author	Bobick, A.F. Johnson, A.Y.
Copyright Year	2001
Description	Author affiliation: GVU Center/Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA (Bobick, A.F.)
Abstract	A gait-recognition technique that recovers static body and stride parameters of subjects as they walk is presented. This approach is an example of an activity-specific biometric: a method of extracting identifying properties of an individual or of an individual's behavior that is applicable only when a person is performing that specific action. To evaluate our parameters, we derive an expected confusion metric (related to mutual information), as opposed to reporting a percent correct with a limited database. This metric predicts how well a given feature vector will filter identity in a large population. We test the utility of a variety of body and stride parameters recovered in different viewing conditions on a database consisting of 15 to 20 subjects walking at both an angled and frontal-parallel view with respect to the camera, both indoors and out. We also analyze motion-capture data of the subjects to discover whether confusion in the parameters is inherently a physical or a visual measurement error property.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Pattern Analysis & Machine Intelligence
File Size	772692
File Format	PDF
ISBN	0769512720
ISSN	10636919
DOI	10.1109/CVPR.2001.990506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial databases Biometrics Data mining Mutual information Filters Testing Visual databases Legged locomotion Cameras Data analysis
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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