Comments on "Symmetry as a Continuous Feature"
IEEE Transactions on Pattern Analysis and Machine Intelligence
View-Invariant Analysis of Cyclic Motion
International Journal of Computer Vision
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphable Models for the Analysis and Synthesis of Complex Motion Patterns
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
Robot Vision
Symmetry as a Continuous Feature
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Finding Periodicity in Space and Time
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Gait Recognition by Gait Dynamics Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
International Journal of Computer Vision
Gait recognition using linear time normalization
Pattern Recognition
An adaptive focus-of-attention model for video surveillance and monitoring
Machine Vision and Applications
Generic temporal segmentation of cyclic human motion
Pattern Recognition
Gait recognition using image self-similarity
EURASIP Journal on Applied Signal Processing
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait analysis for human identification through manifold learning and HMM
Pattern Recognition
A New Combined Fractal Scale Descriptor for Gait Sequence
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Gait Recognition by Applying Multiple Projections and Kernel PCA
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Frontal-view gait recognition by intra- and inter-frame rectangle size distribution
Pattern Recognition Letters
Frame difference energy image for gait recognition with incomplete silhouettes
Pattern Recognition Letters
Dynamic Texture Based Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Factorial HMM and parallel HMM for gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Person identification from human walking sequences using affine moment invariants
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Minimal-latency human action recognition using reliable-inference
Image and Vision Computing
Fast communication: Active energy image plus 2DLPP for gait recognition
Signal Processing
Gait shape estimation for identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Model-based image segmentation for multi-view human gesture analysis
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Gender recognition from gait using radon transform and relevant component analysis
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Dynamic textures for human movement recognition
Proceedings of the ACM International Conference on Image and Video Retrieval
Learning local models for 2D human motion tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Applications of a simple characterization of human gait in surveillance
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
Amplitude spectrum-based gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gait analysis of gender and age using a large-scale multi-view gait database
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Gait recognition using view distance vectors
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Automatic gait recognition by multi-projection analysis
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
A novel approach on silhouette based human motion analysis for gait recognition
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Matching gait image sequences in the frequency domain for tracking people at a distance
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Gait recognition using a view transformation model in the frequency domain
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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
A new approach for human identification using gait recognition
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
A new attempt to silhouette-based gait recognition for human identification
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Human action recognition in videos using hybrid motion features
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Combining wavelet velocity moments and reflective symmetry for gait recognition
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Structure from periodic motion
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
Human typical action recognition using gray scale image of silhouette sequence
Computers and Electrical Engineering
Gait identification using shadow biometrics
Pattern Recognition Letters
Uniprojective features for gait recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Recognizing human gender in computer vision: a survey
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
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We analyze walking people using a gait sequence representation that bypasses the need for frame-to-frame tracking of body parts. The gait representation maps a video sequence of silhouettes into a pair of two-dimensional spatio-temporal patterns that are near-periodic along the time axis. Mathematically, such patterns are called "frieze" patterns and associated symmetry groups "frieze groups". With the help of a walking humanoid avatar, we explore variation in gait frieze patterns with respect to viewing angle, and find that the frieze groups of the gait patterns and their canonical tiles enable us to estimate viewing direction of human walking videos. In addition, analysis of periodic patterns allows us to determine the dynamic time warping and affine scaling that aligns two gait sequences from similar viewpoints. We also show how gait alignment can be used to perform human identification and model-based body part segmentation.