Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Visual Categorization of Children and Adult Walking Styles
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Extended Model-Based Automatic Gait Recognition of Walking and Running
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Individual recognition from periodic activity using hidden Markov models
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Recognition of human body motion using phase space constraints
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
The PARAChute project: remote monitoring of posture and gait for fall prevention
EURASIP Journal on Applied Signal Processing
Gait recognition using image self-similarity
EURASIP Journal on Applied Signal Processing
Computing and evaluating view-normalized body part trajectories
Image and Vision Computing
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
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
Bag of soft biometrics for person identification
Multimedia Tools and Applications
Detection human motion with heel strikes for surveillance analysis
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Heel strike detection based on human walking movement for surveillance analysis
Pattern Recognition Letters
A framework for online gait recognition based on multilinear tensor analysis
The Journal of Supercomputing
Gait recognition using description of shape synthesized by planar homography
The Journal of Supercomputing
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We present a parametric method to automatically identify people in monocular low-resolution video by estimating the height and stride parameters of their walking gait. Stride parameters (stride length and cadence) are functions of body height, weight, and gender. Previous work has demonstrated effective use of these biometrics for identification and verification of people. In this paper, we show that performance is significantly improved by using height as an additional discriminant feature. Height is estimated by robustly segmenting the person from the background and fitting their apparent height to a time-dependent model. This method is correspondence-free and works with low-resolution images of people. It is also view-invariant, albeit performance is optimal in near fronto-parallel configurations. Identification accuracy is estimated at 47% for fronto-parallel sequences of 41 people, and 65% for non-fronto-parallel sequences of 17 people, compared with 18% and 51%, respectively, when only stride and cadence are used.