@inproceedings{5101185052c543c8bee24e93f87c9680,
title = "Hybrid silhouette extraction method for detecting and tracking the human motion",
abstract = "Human motion analysis is an important research subject in humanrobot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.",
author = "Moon, {Hwan Kim} and Jin, {Bae Park} and In, {Ho Ra} and Young, {Hoon Joo}",
year = "2006",
language = "English",
isbn = "3540459073",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "687--695",
booktitle = "Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings",
address = "Germany",
note = "2nd International Conference on Natural Computation, ICNC 2006 ; Conference date: 24-09-2006 Through 28-09-2006",
}