International Journal of Robotics Research
Performance of optical flow techniques
International Journal of Computer Vision
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Limit cycle control and its application to the animation of balancing and walking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Recognition of Periodic, Nonrigid Motion
International Journal of Computer Vision
Robot Vision
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
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)
Analyzing Articulated Motion Using Expectation-Maximization
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Singularity Analysis for Articulated Object Tracking
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Bayesian based Performance Prediction for Gait Recognition
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Automatic extraction and description of human gait models for recognition purposes
Computer Vision and Image Understanding
Tracking of Persons in Monocular Image Sequences
NAM '97 Proceedings of the 1997 IEEE Workshop on Motion of Non-Rigid and Articulated Objects (NAM '97)
Estimation of Articulated Motion Using Kinematically Constrained Mixture Densities
NAM '97 Proceedings of the 1997 IEEE Workshop on Motion of Non-Rigid and Articulated Objects (NAM '97)
Finding Periodicity in Space and Time
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Dynamic Texture Based Gait Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A study on gait-based gender classification
IEEE Transactions on Image Processing
Biometric Recognition: When Is Evidence Fusion Advantageous?
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Human identification based on gait paths
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Human attributes from 3D pose tracking
Computer Vision and Image Understanding
Recognizing human gender in computer vision: a survey
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Person identification using full-body motion and anthropometric biometrics from kinect videos
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Biometrics from gait using feature value method
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
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Psychological studies indicate that people have a small but statistically significant ability to recognize the gaits of individuals that they know. Recently, there has been much interest in machine vision systems that can duplicate and improve upon this human ability for application to biometric identification. While gait has several attractive properties as a biometric (it is unobtrusive and can be done with simple instrumentation), there are several confounding factors such as variations due to footwear, terrain, fatigue, injury, and passage of time. This paper gives an overview of the factors that affect both human and machine recognition of gaits, data used in gait and motion analysis, evaluation methods, existing gait and quasi gait recognition systems, and uses of gait analysis beyond biometric identification. We compare the reported recognition rates as a function of sample size for several published gait recognition systems.