Locally adaptive combining colour and depth for human body contour tracking using level set method-Reference-Cited by-同舟云学术

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Locally adaptive combining colour and depth for human body contour tracking using level set method

Published:2014-08 Issue:4 Volume:8 Page:316-328
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Xu Yuhua¹²,Ye Mao³,Tian Zunhua¹²,Zhang Xiaohu¹²

Affiliation:

1. College of Aerospace Science and EngineeringNational University of Defense TechnologyChangshaHunanPeople's Republic of China

2. Hunan Key Laboratory of Videometrics and Vision NavigationChangshaHunanPeople's Republic of China

3. Department of Computer ScienceUniversity of KentuckyLexingtonKentuckyUSA

Funder

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2013.0164

Reference38 articles.

1. A survey of advances in vision-based human motion capture and analysis

2. Shotton J. Fitzgibbon A. Cook M. et al: ‘Real‐time human pose recognition in parts from single depth images’.CVPR 2011

3. Gall J. Fossati A. vanGool L.: ‘Functional categorization of objects using real‐time markerless motion capture’.IEEE Conf on Computer Vision and Pattern Recognition 2011 pp.1969–1976

4. Girshick R. Shotton J. Kohli P. Criminisi A. Fitzgibbon A.: ‘Efficient regression of general‐activity human poses from depth images’.ICCV 2011

5. Taylor J. Shotton J. Sharp T. Fitzgibbon A.: ‘The vitruvian manifold: inferring dense correspondences for one‐shot human pose estimation’.CVPR 2012

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