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ICCV
2009
IEEE

Jointly estimating demographics and height with a calibrated camera

10 years 8 months ago
Jointly estimating demographics and height with a calibrated camera
One important problem in computer vision is to provide a demographic description a person from an image. In practice, many of the state-of-the-art methods use only an analysis of the face to estimate the age and gender of a person of interest. We present a model that combines two problems, height estimation and demographic classification, which allows each to serve as context for the other. Our idea is to use a calibrated camera for measuring the height of people in the scene. Height is measured by jointly inferring across anthropometric dimensions, age, and gender using publicly available statistics. The height estimate provides context for recognizing the age and gender of the subject, and likewise age and gender conditions the distribution of the anthropometric features for estimating height. The performance of our method is explored on a new database of 127 people captured with a calibrated camera with recorded height, age, and gender. We show that estimating height leads to impro...
Andrew C. Gallagher, Andrew C. Blose, Tsuhan Chen
Added 18 Feb 2011
Updated 31 Mar 2011
Type Journal
Year 2009
Where ICCV
Authors Andrew C. Gallagher, Andrew C. Blose, Tsuhan Chen
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