Human Weight Estimation

Introduction

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 work, 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 di.erent people with ground truth weight. Second, the novel sideview shape feature and the feature fusion model are proposed to facilitate weight estimation. Additionally, we also 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.

Download paper [PDF]

W8-RGBD* dataset[Download]

*W8 is the abbreviation of 'W-Eight' and the dataset consists of color and depth (RGBD) information.

If you happen to use our work, please cite the following paper

Tam V. Nguyen, Jiashi Feng, Shuicheng Yan. Seeing Human Weight from a Single RGB-D Image. J. Comput. Sci. Technol. 29(5): 777-784 (2014)