Elements of information theory
Elements of information theory
Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
The Representation and Recognition of Human Movement Using Temporal Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Automatic gait recognition by symmetry analysis
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human gait recognition based on matching of body components
Pattern Recognition
Human Motion Analysis Using Eroded and Restored Skeletons
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Model-Based Gait Recognition Using Multiple Feature Detection
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Computing and evaluating view-normalized body part trajectories
Image and Vision Computing
Automatic Gait Recognition Using Weighted Binary Pattern on Video
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
A channel coding approach for human authentication from gait sequences
IEEE Transactions on Information Forensics and Security
Zernike velocity moments for sequence-based description of moving features
Image and Vision Computing
Using ground reaction forces from gait analysis: body mass as a weak biometric
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Performance analysis of time-distance gait parameters under different speeds
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Self-calibrating view-invariant gait biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Modelling the effects of walking speed on appearance-based gait recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
On automated model-based extraction and analysis of gait
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gait style and gait content: bilinear models for gait recognition using gait re-sampling
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face contour construction with multiple information
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gait identification using a novel gait representation: Radon transform of mean gait energy image
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Pattern discovery for video surveillance
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Modelling the effect of view angle variation on appearance-based gait recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Towards scalable view-invariant gait recognition: multilinear analysis for gait
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Robustness of biometric gait authentication against impersonation attack
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
3D scene modeling for activity detection
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Reconstructing and analyzing periodic human motion from stationary monocular views
Computer Vision and Image Understanding
Reducing the effect of noise on human contour in gait recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Human gait recognition using depth camera: a covariance based approach
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Journal of Visual Communication and Image Representation
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A multi-view gait recognition method using recovered static body parameters of subjects is presented; we refer to these parameters as activity-specific biometrics. Our data consists of 18 subjects walking at both an angled and frontal-parallel view with respect to the camera. When only considering data from a single view, subjects are easily discriminated; however, discrimination decreases when data across views are considered. To compare between views, we use ground truth motion-capture data of a reference subject to find scale factors that can transform data from different viewsi nto a common frame ("walking-space"). Instead of reporting percent correct from a limited database, we report our results using an expected confusion metric that allows us to predict how our static body parameters filter identity in a large population: lower confusion yields higher expected discrimination power. We show that using motion-capture data to adjust vision data of different views to a common reference frame, we can get achieve expected confusions rates on the order of 6%.