A parallel thinning algorithm for medial surfaces
Pattern Recognition Letters
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
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
Person Identification Using Automatic Height and Stride Estimation
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Automatic extraction and description of human gait models for recognition purposes
Computer Vision and Image Understanding
Robust Centerline Extraction Framework Using Level Sets
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
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
Hi-index | 0.00 |
Skeleton has been found a very useful feature in human motion analysis and gait recognition. However, it is usually hard to obtain the right feature skeleton because of shape variance of human silhouette and noise. Due to those reasons, unexpected skeleton branches will exist together with the main components of human body. To delete the unexpected branches, a silhouette reconstruction method is proposed to cope with the shadow problem in foot area, while a skeleton pruning technique using skeleton erosion and restoration is proposed to extract the main body parts. The final skeleton can be used as a high level gait feature to carry out further motion type analysis.