Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Statistical Gait Description via Temporal Moments
SSIAI '00 Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Gait recognition using image self-similarity
EURASIP Journal on Applied Signal Processing
Contour graph based human tracking and action sequence recognition
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
Pedestrian gait classification based on Hidden Markov models
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Amplitude spectrum-based gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Magnitude and phase spectra of foot motion for gait recognition
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Gait recognition using spectral features of foot motion
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A new approach to human motion sequence recognition with application to diving actions
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Combining wavelet velocity moments and reflective symmetry for gait recognition
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
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
| Hi-index | 0.00 |
This paper describes a set of representations of gait appearance features for the purpose of person identification. Our gait representation has two stages: the first stage computes a set of image features that are based on moments extracted from orthogonal view video silhouettes of human walking motion; the second stage applies three methods of aggregating these image features over time to create the gait sequence features. Despite their simplicity, the resulting gait sequence feature vectors contain enough information to perform well on human identification. We demonstrate the accuracy of recognition using gait video sequences collected over different daysa nd times, under varying lighting environments an d explore the differences in the three time-aggregation methods for the purpose of recognition.