Search

Your search keyword '"Michalczuk, Agnieszka"' showing total 5 results
Start Over Author "Michalczuk, Agnieszka" Topic gait recognition
5 results on '"Michalczuk, Agnieszka"'

1. 3D Gait Recognition Using Spatio-Temporal Motion Descriptors

Author

Kwolek, Bogdan, Krzeszowski, Tomasz, Michalczuk, Agnieszka, Josinski, Henryk, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Nguyen, Ngoc Thanh, editor, Attachoo, Boonwat, editor, Trawiński, Bogdan, editor, and Somboonviwat, Kulwadee, editor

Published
2014
Full Text
View/download PDF

3. View Independent Human Gait Recognition Using Markerless 3D Human Motion Capture

Author

Krzeszowski, Tomasz, Kwolek, Bogdan, Michalczuk, Agnieszka, Świtoński, Adam, Josiński, Henryk, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bolc, Leonard, editor, Tadeusiewicz, Ryszard, editor, Chmielewski, Leszek J., editor, and Wojciechowski, Konrad, editor

Published
2012
Full Text
View/download PDF

4. Gait Identification Based on MPCA Reduction of a Video Recordings Data

Author

Michalczuk, Agnieszka, Świtoński, Adam, Josiński, Henryk, Polański, Andrzej, Wojciechowski, Konrad, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bolc, Leonard, editor, Tadeusiewicz, Ryszard, editor, Chmielewski, Leszek J., editor, and Wojciechowski, Konrad, editor

Published
2012
Full Text
View/download PDF

5. Calibrated and synchronized multi-view video and motion capture dataset for evaluation of gait recognition.

Author

Kwolek, Bogdan, Michalczuk, Agnieszka, Krzeszowski, Tomasz, Switonski, Adam, Josinski, Henryk, and Wojciechowski, Konrad

Subjects
MOTION capture (Human mechanics), ARTIFICIAL neural networks, BODY-weight-supported treadmill training, MOTION analysis, MULTIPLE correspondence analysis (Statistics), CONVOLUTIONAL neural networks
Abstract

We introduce synchronized and calibrated multi-view video and motion capture dataset for motion analysis and gait identification. The 3D gait dataset consists of 166 data sequences with 32 people. In 128 data sequences, each of 32 individuals was dressed in his/her clothes, in 24 data sequences, 6 of 32 performers changed clothes, and in 14 data sequences, 7 of the performers had a backpack on his/her back. In a single recording session, every performer walked from right to left, then from left to right, and afterwards on the diagonal from upper-right to bottom-left and from bottom-left to upper-right corner of a rectangular scene. We demonstrate that a baseline algorithm achieves promising results in a challenging scenario, in which gallery/training data were collected in walks perpendicular/facing to the cameras, whereas the probe/testing data were collected in diagonal walks. We compare performances of biometric gait recognition that were achieved on marker-less and marker-based 3D data. We present recognition performances, which were achieved by a convolutional neural network and classic classifiers operating on gait signatures obtained by multilinear principal component analysis. The availability of synchronized multi-view image sequences with 3D locations of body markers creates a number of possibilities for extraction of discriminative gait signatures. The gait data are available at http://bytom.pja.edu.pl/projekty/hm-gpjatk/. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results