@inproceedings{54dbaf04a36240188217a5559f3906c1,
title = "Gait recognition based on anatomical knowledge",
abstract = "Gait recognition refers to automatic identification of an individual based on the style of walking; it's a new biometrics recognition technology. This paper attempts to describe gait signature based on Anatomical Knowledge, to make quasi-periodic analysis on height and width ratio of gait image, and to solve the problems resulting from image sequence of different gait cycle by HMM. By utilizing the algorithm in the paper, the experiments made on CMU database have achieved comparatively high correction identification ratio.",
keywords = "Anatomical knowledge, Biometrics, Feature extraction, Gait recognition, Hidden Markov model",
author = "Yangming Guo and Guangjian Tian",
year = "2008",
doi = "10.1109/WCICA.2008.4593963",
language = "英语",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6803--6806",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}