Silhouette-based Human Identification from Body Shape and Gait

Loading...
Thumbnail Image
Penn collection
Departmental Papers (CIS)
Degree type
Discipline
Subject
biometrics (access control)
computer vision
correlation methods
gait analysis
image classification
image matching
image motion analysis
image sequences
shape measurement
video databases
arm swing
background conditions
baseline recognition method
biometric shape cues
body height
body shape
body width
body-part proportions
correlation scores
cyclic gait analysis
databases
gait cues
indoor conditions
key frame extraction
lower bound
nearest-neighbor matching
normalized correlation
outdoor conditions
pixels
silhouette-based human identification
stride length
subject classification
template matching
test image sequence
training frames
viewing angles
viewpoint-dependent technique
walking styles
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Collins, Robert T
Gross, Ralph
Contributor
Abstract

Our goal is to establish a simple baseline method for human identification based on body shape and gait. This baseline recognition method provides a lower bound against which to evaluate more complicated procedures. We present a viewpoint dependent technique based on template matching of body silhouettes. Cyclic gait analysis is performed to extract key frames from a test sequence. These frames are compared to training frames using normalized correlation, and subject classification is performed by nearest neighbor matching among correlation scores. The approach implicitly captures biometric shape cues such as body height, width, and body-part proportions, as well as gait cues such as stride length and amount of arm swing. We evaluate the method on four databases with varying viewing angles, background conditions (indoors and outdoors), walk styles and pixels on target.

Advisor
Date of presentation
2002-05-20
Conference name
Departmental Papers (CIS)
Conference dates
2023-05-16T22:24:26.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Copyright 2002 IEEE. Reprinted from Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition 2002 (FGR 2002), pages 351-356. Publisher URL: http://dx.doi.org/10.1109/AFGR.2002.1004181 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. NOTE: At the time of publication, author Jianbo Shi was affiliated with Carnegie Mellon University. Currently (March 2005), he is a faculty member in the Department of Computer and Information Science at the University of Pennsylvania.
Copyright 2002 IEEE. Reprinted from Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition 2002 (FGR 2002), pages 351-356. Publisher URL: http://dx.doi.org/10.1109/AFGR.2002.1004181 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. NOTE: At the time of publication, author Jianbo Shi was affiliated with Carnegie Mellon University. Currently (March 2005), he is a faculty member in the Department of Computer and Information Science at the University of Pennsylvania.
Recommended citation
Collection