TY - GEN
T1 - Gait identification based on mpca reduction of a video recordings data
AU - Michalczuk, Agnieszka
AU - Świtoński, Adam
AU - Josiński, Henryk
AU - Polański, Andrzej
AU - Wojciechowski, Konrad
PY - 2012
Y1 - 2012
N2 - The scope of this article is gait identification of individuals on the basis of reduced sequences of video recordings data. The gait sequences are considered to be the 3rd-order tensors and its dimensionality is reduced by Multilinear Principal Component Analysis with different values of variation covered. Reduced gait descriptors are identified by the supervised classifiers: Naive Bayes and Nearest Neighbor. CASIA Gait Database 'dataset A' is chosen to verify the proposed method. The obtained results are promising. For the Naive Bayes and attributes discretization almost 99% of classification accuracy is achieved, which means only one misclassified gait out of eighty validated.
AB - The scope of this article is gait identification of individuals on the basis of reduced sequences of video recordings data. The gait sequences are considered to be the 3rd-order tensors and its dimensionality is reduced by Multilinear Principal Component Analysis with different values of variation covered. Reduced gait descriptors are identified by the supervised classifiers: Naive Bayes and Nearest Neighbor. CASIA Gait Database 'dataset A' is chosen to verify the proposed method. The obtained results are promising. For the Naive Bayes and attributes discretization almost 99% of classification accuracy is achieved, which means only one misclassified gait out of eighty validated.
UR - https://www.scopus.com/pages/publications/84868005682
U2 - 10.1007/978-3-642-33564-8_63
DO - 10.1007/978-3-642-33564-8_63
M3 - Conference contribution
AN - SCOPUS:84868005682
SN - 9783642335631
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 525
EP - 532
BT - Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings
PB - Springer Verlag
T2 - International Conference on Computer Vision and Graphics, ICCVG 2012
Y2 - 24 September 2012 through 26 September 2012
ER -