@inproceedings{e8ffd48f71b44e63b3328206b145cbe9,
title = "Identification and reconstruction of complete gait cycles for person identification in crowded scenes",
abstract = "This paper addresses the problem of gait recognition in the presence of occlusions. Recognition of people using their gait has been an active research area and many successful algorithms have been presented. However to this point non of the methods addresses the problem of occlusion. Most of the current algorithms need a full gait cycle for recognition. In this paper we present a scheme for reconstruction of full gait cycles, which can be used as preprocessing step for any state-of-the-art gait recognition method. We test this on the TUM-IITKGP gait recognition database and show a significant performance gain in the case of occlusions.",
keywords = "Gait cycle reconstruction, Gait recognition, Graph cuts, Occlusions, Person identification",
author = "Martin Hofmann and Daniel Wolf and Gerhard Rigoll",
year = "2011",
language = "English",
isbn = "9789898425478",
series = "VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application",
pages = "594--597",
booktitle = "VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application",
note = "International Conference on Computer Vision Theory and Application, VISAPP 2011 ; Conference date: 05-03-2011 Through 07-03-2011",
}