@inproceedings{79682f59d1eb48329c230bb5e93fa6db,
title = "Recovering articulated motion with a hierarchical factorization method",
abstract = "Recovering articulated human motion is an important task in many applications including surveillance and human-computer interaction. In this paper, a hierarchical factorization method is proposed for recovering articulated human motion (such as hand gesture) from a sequence of images captured under weak perspective projection. It is robust against missing feature points due to self-occlusion, and various observation noises. The accuracy of our algorithm is verified by experiments on synthetic data.",
author = "Hanning Zhou and Huang, {Thomas S.}",
note = "Publisher Copyright: {\textcopyright} 2004 Springer-Verlag Berlin Heidelberg.; 5th International GestureWorkshop, GW 2003 ; Conference date: 15-04-2003 Through 17-04-2003",
year = "2004",
doi = "10.1007/978-3-540-24598-8_14",
language = "English (US)",
isbn = "3540210725",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer",
pages = "140--151",
editor = "Antonio Camurri and Gualtiero Volpe",
booktitle = "Gesture-Based Communication in Human-Computer Interaction",
address = "Germany",
}