@inproceedings{c1532c1a3fb14b4cb02f2e92edd51650,
title = "Variable duration motion texture for human motion modeling",
abstract = "Statistical model is an effective method for character motion modeling. In this paper, a variable duration motion texture is proposed to represent complex human motion that is statistically similar to the original captured motion data. The motion texture is defined as a three-level structure with moton abstracts, motons and their distribution. The motion texture is modeled by a Semi-SLDS (Semi- Switching Linear Dynamic System), which provides an intuitive framework for describing the continuous but nonlinear dynamics of human motion. To explicitly incorporate duration modeling capability, the Semi-SLDS is adopted to improve SLDS by replacing the Markov switching layer with semi-Markov model. In addition, the proposed approach is proved flexible and effective by several motion applications, namely motion synthesis, motion recognition and motion compression.",
author = "Tianyu Huang and Fengxia Li and Shouyi Zhan and Jianyuan Min",
year = "2006",
doi = "10.1007/11801603\_64",
language = "English",
isbn = "3540366679",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "603--612",
booktitle = "PRICAI 2006",
address = "Germany",
note = "9th Pacific Rim International Conference on Artificial Intelligence ; Conference date: 07-08-2006 Through 11-08-2006",
}