@inproceedings{75057174a6b846f8a29ad5eee8d07589,
title = "Gait recognition based on marker-less 3D motion capture",
abstract = "We present an algorithm for view-independent gait-based person identification. The identification is achieved using data obtained by our marker-less 3D motion tracking algorithm. The motion tracking was accomplished by a particle swarm optimization algorithm. The accuracy of the motion tracking algorithm was evaluated using ground-truth data from MoCap. It was determined on 88 sequences with 22 walking performers. We obtained 90\% identification accuracy (rank 1) on 230 gait cycles.",
author = "Tomasz Krzeszowski and Agnieszka Michalczuk and Bogdan Kwolek and Adam Switonski and Henryk Josinski",
year = "2013",
doi = "10.1109/AVSS.2013.6636645",
language = "English",
isbn = "9781479907038",
series = "2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013",
publisher = "IEEE Computer Society",
pages = "232--237",
booktitle = "2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013",
address = "United States",
note = "10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013 ; Conference date: 27-08-2013 Through 30-08-2013",
}