Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Gait as a Biometric, via Phase-weighted Magnitude Spectra
AVBPA '97 Proceedings of the First 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
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
On the Relationship of Human Walking and Running: Automatic Person Identification by Gait
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Automatic gait recognition by symmetry analysis
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Gait-Based Recognition of Humans Using Continuous HMMs
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Extracting Human Gait Signatures by Body Segment Properties
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
Automatic gait recognition using area-based metrics
Pattern Recognition Letters
Curved path human locomotion on uneven terrain
Curved path human locomotion on uneven terrain
Learning Pedestrian Models for Silhouette Refinement
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Gait analysis for human identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
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
Performance analysis for gait in camera networks
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Gait recognition using Hough transform and principal component analysis
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Performance analysis for automated gait extraction and recognition in multi-camera surveillance
Multimedia Tools and Applications
Gait recognition without subject cooperation
Pattern Recognition Letters
Self-calibrating view-invariant gait biometrics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Model-based human gait recognition using leg and arm movements
Engineering Applications of Artificial Intelligence
A vision-based regression model to evaluate Parkinsonian gait from monocular image sequences
Expert Systems with Applications: An International Journal
Gait verification using knee acceleration signals
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Human gait recognition via deterministic learning
Neural Networks
Gait recognition using description of shape synthesized by planar homography
The Journal of Supercomputing
Human Activity Recognition Using Gait Pattern
International Journal of Computer Vision and Image Processing
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The reliable extraction of characteristic gait features from image sequences and their recognition are two important issues in gait recognition. In this paper, we propose a novel two-step, model-based approach to gait recognition by employing a five-link biped locomotion human model. We first extract the gait features from image sequences using the Metropolis-Hasting method. Hidden Markov Models are then trained based on the frequencies of these feature trajectories, from which recognition is performed. As it is entirely based on human gait, our approach is robust to different type of clothes the subjects wear. The model-based gait feature extraction step is insensitive to noise, cluttered background or even moving background. Furthermore, this approach also minimizes the size of the data required for recognition compared to model-free algorithms. We applied our method to both the USF Gait Challenge data set and CMU MoBo data set, and achieved recognition rate of 61 and 96%, respectively. We further studied the relationship between number of subjects within data set and the recognition rate. The results suggest that the recognition rate is significantly limited by the distance of the subject to the camera.