Accurate per-pixel hand detection from a single depth image

作者：Zhang, Zhao; Zhang, Zhijiang^*; Zhang, Haiwei; Zeng, Dan

来源：Optical Engineering, 2017, 56(3): 033107.

DOI：10.1117/1.OE.56.3.033107

• depth-context feature
• per-pixel hand detection
• multilayered
• postprocessing

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.

• 出版日期2017-3
• 单位上海大学