TY - CHAP
T1 - Selection of individual gait features extracted by MPCA applied to video recordings data
AU - Josiński, Henryk
AU - Michalczuk, Agnieszka
AU - Polański, Andrzej
AU - Świtoński, Adam
AU - Wojciechowski, Konrad
PY - 2013
Y1 - 2013
N2 - The scope of this article is selection of individual gait features of video recordings data. The gait sequences are considered to be the 3rd-order tensors and their features are extracted by Multilinear Principal Component Analysis. Obtained gait descriptors are reduced by the supervised selection with greedy hill climbing and genetics search methods. To evaluate the explored individual feature sets, classification is carried out and CFS correlation based measure is utilized. The experimental phase is based on the CASIA Gait Database 'dataset A'. The obtained results are promising. Feature selection gives much more compact gait descriptors and causes significant improvement of human identification
AB - The scope of this article is selection of individual gait features of video recordings data. The gait sequences are considered to be the 3rd-order tensors and their features are extracted by Multilinear Principal Component Analysis. Obtained gait descriptors are reduced by the supervised selection with greedy hill climbing and genetics search methods. To evaluate the explored individual feature sets, classification is carried out and CFS correlation based measure is utilized. The experimental phase is based on the CASIA Gait Database 'dataset A'. The obtained results are promising. Feature selection gives much more compact gait descriptors and causes significant improvement of human identification
UR - https://www.scopus.com/pages/publications/84893095499
U2 - 10.1007/978-3-319-00369-6_17
DO - 10.1007/978-3-319-00369-6_17
M3 - Chapter
AN - SCOPUS:84893095499
SN - 9783319003689
T3 - Studies in Computational Intelligence
SP - 257
EP - 271
BT - Vision Based Systems for UAV Applications
A2 - Nawrat, Aleksander
A2 - Nawrat, Aleksander
A2 - Kus, Zygmunt
ER -