A relaxation method to articulated trajectory reconstruction from monocular image sequence

Bo Li, Yuchao Dai, Mingyi He, Anton Van Den Hengel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages389-393
Number of pages5
ISBN (Electronic)9781479954032
DOIs
Publication statusPublished - 3 Sept 2014
Externally publishedYes
Event2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Xi'an, China
Duration: 9 Jul 201413 Jul 2014

Publication series

Name2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings

Conference

Conference2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
Country/TerritoryChina
CityXi'an
Period9/07/1413/07/14

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