Hybrid silhouette extraction method for detecting and tracking the human motion

Authors:
Moon Hwan Kim;Jin Bae Park;In Ho Ra;Young Hoon Joo
Affiliations:
Yonsei University, Seoul, Korea;Yonsei University, Seoul, Korea;Kunsan National University, Kunsan, Chonbuk, Korea;Kunsan National University, Kunsan, Chonbuk, Korea
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

Human motion analysis is an important research subject in human-robot 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.