3D gait recognition using multiple cameras. Zhao, G.; Liu, G.; Li, H.; and Pietikäinen, M. In Proc. of the 7th International Conference on Automatic Face and Gesture Recognition (FGR 2006), pages 529-534, 2006. abstract bibtex Video-based gait recognition is a challenging
problem in computer vision. In this paper, fractal scale
wavelet analysis is applied to describe and
automatically recognize gait. Fractal scale based on
wavelet analysis represents the self-similarity of
signals, and improves the flexibility of wavelet
moments. Optimal wavelets based on generalized
multi-resolution analysis are used to improve the
recognition rate. Descriptors of fractal scale are
translation, scale and rotation invariant. Moreover, a
combination of fractal scale and wavelet moments
improves the recognition rate. Experiments show that
the proposed descriptor is efficient for gait recognition.
@inProceedings{
title = {3D gait recognition using multiple cameras.},
type = {inProceedings},
year = {2006},
pages = {529-534},
city = {Southampton, UK},
id = {2f74e694-8707-3d7b-bfe9-7d14401e1342},
created = {2019-11-19T16:28:56.591Z},
file_attached = {false},
profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
group_id = {28b2996c-b80f-3c26-be71-695caf7040ac},
last_modified = {2019-11-19T16:32:40.801Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {mvg:698},
source_type = {inproceedings},
folder_uuids = {8292f5ec-1c57-4113-a303-25778e695f8c},
private_publication = {false},
abstract = {Video-based gait recognition is a challenging
problem in computer vision. In this paper, fractal scale
wavelet analysis is applied to describe and
automatically recognize gait. Fractal scale based on
wavelet analysis represents the self-similarity of
signals, and improves the flexibility of wavelet
moments. Optimal wavelets based on generalized
multi-resolution analysis are used to improve the
recognition rate. Descriptors of fractal scale are
translation, scale and rotation invariant. Moreover, a
combination of fractal scale and wavelet moments
improves the recognition rate. Experiments show that
the proposed descriptor is efficient for gait recognition.},
bibtype = {inProceedings},
author = {Zhao, G and Liu, G and Li, H and Pietikäinen, M},
booktitle = {Proc. of the 7th International Conference on Automatic Face and Gesture Recognition (FGR 2006)}
}