Methods for fast morphological image transforms using bitmapped binary images
CVGIP: Graphical Models and Image Processing
Moving object recognition in eigenspace representation: gait analysis and lip reading
Pattern Recognition Letters
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
A Multi-view Method for Gait Recognition Using Static Body Parameters
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Automatic gait recognition by symmetry analysis
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
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
Automatic gait recognition using area-based metrics
Pattern Recognition Letters
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simplest Representation Yet for Gait Recognition: Averaged Silhouette
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
On automated model-based extraction and analysis of gait
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Identification of humans using gait
IEEE Transactions on Image Processing
Depth silhouettes for gesture recognition
Pattern Recognition Letters
Fast communication: Gait recognition based on dynamic region analysis
Signal Processing
Gait Recognition Based on Silhouette, Contour and Classifier Ensembles
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Factorial HMM and parallel HMM for gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Individual Identification Using Gait Sequences under Different Covariate Factors
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
People detection through quantified fuzzy temporal rules
Pattern Recognition
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Efficient human action and gait analysis using multiresolution motion energy histogram
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Gait recognition based on improved dynamic Bayesian networks
Pattern Recognition
Gait flow image: A silhouette-based gait representation for human identification
Pattern 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 Recognition Letters
An adaptive system for gait recognition in multi-view environments
Proceedings of the on Multimedia and security
Human gait recognition using depth camera: a covariance based approach
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Gait recognition based on partitioned weighting gait energy image
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). MSCTs and SSTs capture the motion and static characteristic of gait. These templates would be computed from the silhouette sequence directly. The performance of the proposed algorithm is evaluated experimentally using the SOTON data set and the USF data set. We compared our proposed algorithm with other research works on these two data sets. Experimental results show that the proposed templates are efficient for human identification in indoor and outdoor environments. The proposed algorithm has a recognition rate of around 85% on the SOTON data set. The recognition rate is around 80% in intrinsic difference group (probes A-C) of USF data set.