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Volume 29 Issue 5
September  2014
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Tam V. Nguyen, Jiashi Feng, Shuicheng Yan. Seeing Human Weight from a Single RGB-D Image[J]. Journal of Computer Science and Technology, 2014, 29(5): 777-784. DOI: 10.1007/s11390-014-1467-0
Citation: Tam V. Nguyen, Jiashi Feng, Shuicheng Yan. Seeing Human Weight from a Single RGB-D Image[J]. Journal of Computer Science and Technology, 2014, 29(5): 777-784. DOI: 10.1007/s11390-014-1467-0
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Seeing Human Weight from a Single RGB-D Image

  • 1. ARTIC Centre, Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 139651, Singapore;
    2. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, U. S. A. ;
    3. Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore

Funds: This work is partially supported by Singapore Ministry of Education under Research Grant No. MOE2012-TIF-2-G-016, and also partially by the National Natural Science Foundation of China under Grant No. 61328205.
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  • Author Bio:

    Tam V. Nguyen is a research scientist at ARTIC Centre,Department for Technology, Innovation and Enterprise, SingaporePolytechnic. He obtained his Ph.D. degree in electrical and computerengineering from National University of Singapore in 2013. Prior tothat, he obtained his M.E. and B.S. degrees from Chonnam NationalUniversity, South Korea, in 2009, andUniversity of Science, Vietnam, in 2005, respectively. His researchinterests include computer vision, multimedia and machine learning.He is the recipient of numerous awards including the Best PaperAward at NUS GSS 2013, the 2nd prize winner of ICPR 2012 Contest onAction Recognition, and the best technical demonstration from ACMMM 2012.

  • Received Date: December 24, 2013
  • Revised Date: July 03, 2014
  • Published Date: September 04, 2014
    Abstract
  • Human weight estimation is useful in a variety of potential applications, e.g., targeted advertisement, entertainment scenarios and forensic science. However, estimating weight only from color cues is particularly challenging since these cues are quite sensitive to lighting and imaging conditions. In this article, we propose a novel weight estimator based on a single RGB-D image, which utilizes the visual color cues and depth information. Our main contributions are three-fold. First, we construct the W8-RGBD dataset including RGB-D images of different people with ground truth weight. Second, the novel sideview shape feature and the feature fusion model are proposed to facilitate weight estimation. Additionally, we consider gender as another important factor for human weight estimation. Third, we conduct comprehensive experiments using various regression models and feature fusion models on the new weight dataset, and encouraging results are obtained based on the proposed features and models.
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