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Type: Conference paper
Title: Adaptive human silhouette reconstruction based on the exploration of temporal information
Author: Zhou, X.
Li, X.
Chin, T.
Suter, D.
Citation: 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings: March 25-30, 2012: pp.1005-1008
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
Series/Report no.: International Conference on Acoustics Speech and Signal Processing ICASSP
ISBN: 9781467300469
ISSN: 1520-6149
Conference Name: IEEE International Conference on Acoustics, Speech and Signal Processing (37th : 2012 : Kyoto, Japan)
Statement of
Xue Zhou, Xi Li, Tat-Jun Chin, David Suter
Abstract: Human silhouette reconstruction has a wide range of applications in motion analysis, object segmentation and tracking, etc. In this paper, we propose a human silhouette reconstruction method based on the exploration of temporal information. Given a test silhouette, the proposed method aims to find its reliable templates for reconstruction by using the intrinsic temporal relationship among different frames. To effectively obtain such templates, we propose an adaptive criterion based on the non-negative least square optimization. Experimental results on two challenging datasets demonstrate the effectiveness of our method.
Keywords: Human silhouette reconstruction
level set
shortest path searching
temporal constraint
Rights: ©2012 IEEE
DOI: 10.1109/ICASSP.2012.6288055
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Computer Science publications

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