Imaging Components, Systems, and Processing

Accurate per-pixel hand detection from a single depth image

[+] Author Affiliations
Zhao Zhang, Zhijiang Zhang, Dan Zeng

Shanghai University, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai, China

Haiwei Zhang

Shanghai Chingmu Vision Technology, Shanghai, China

Opt. Eng. 56(3), 033107 (Mar 24, 2017). doi:10.1117/1.OE.56.3.033107
History: Received November 26, 2016; Accepted March 9, 2017
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Abstract.  Per-pixel hand detection plays an important role in many human–computer interaction applications while accurate and robust hand detection remains a challenging task due to the large appearance variance of hands in images. We introduce a per-pixel hand detection system using one single depth image. We propose a circle sampling depth-context feature for hand regions representation, and a multilayered hand detection model is built for hand regions detection. Finally, a postprocessing step based on spatial constraints is applied to refine the detection results and further improve the detection accuracy. We evaluate the accuracy of our method on a public dataset and investigate the effect of key parameters in our system. The results of the qualitative and quantitative evaluation reveal that the proposed method performs well on per-pixel hand detection tasks. Furthermore, an additional experiment on hand parts segmentation proves that the depth-context feature has a generalization power for more complex multiclass classification tasks.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Zhao Zhang ; Zhijiang Zhang ; Haiwei Zhang and Dan Zeng
"Accurate per-pixel hand detection from a single depth image", Opt. Eng. 56(3), 033107 (Mar 24, 2017). ; http://dx.doi.org/10.1117/1.OE.56.3.033107


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