Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/116104
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Conference paper |
Title: | A relaxation method to articulated trajectory reconstruction from monocular image sequence |
Author: | Li, B. Dai, Y. He, M. Van Den Hengel, A. |
Citation: | Proceedings: 2014 IEEE China Summit & International Conference on Signal and Information Processing, 2014, pp.389-393 |
Publisher: | IEEE |
Issue Date: | 2014 |
ISBN: | 9781479954032 |
Conference Name: | 2nd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2014) (9 Jul 2014 - 13 Jul 2014 : Xi'an, China) |
Statement of Responsibility: | Bo Li, Yuchao Dai, Mingyi He, Anton van den Hengel |
Abstract: | In this paper, we present a novel method for articulated trajectory reconstruction from a monocular image sequence. We propose a relaxation-based objective function, which utilises both smoothness and geometric constraints, posing articulated trajectory reconstruction as a non-linear optimization problem. The main advantage of this approach is that it remains the re-constructive power of the original algorithm, while improving its robustness to the inevitable noise in the data. Furthermore, we present an effective approach to estimating the parameters of our objective function. Experimental results on the CMU motion capture dataset show that our proposed algorithm is effective. |
Keywords: | articulated trajectory noise relaxation robust smoothness |
Rights: | © 2014 IEEE |
DOI: | 10.1109/ChinaSIP.2014.6889270 |
Grant ID: | http://purl.org/au-research/grants/arc/DE140100180 |
Published version: | http://dx.doi.org/10.1109/chinasip.2014.6889270 |
Appears in Collections: | Aurora harvest 3 Australian Institute for Machine Learning publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.