Moving Hand Segmentation Based on Multi-cues

RUAN Xiaogang; LIN Jia; YU Naigong; ZHU Xiaoqing; OUATTARA Sie

doi:10.11999/JEIT160730

Volume 39 Issue 5

May 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(5): 1088-1095

RUAN Xiaogang, LIN Jia, YU Naigong, ZHU Xiaoqing, OUATTARA Sie. Moving Hand Segmentation Based on Multi-cues[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1088-1095. doi: 10.11999/JEIT160730

Citation:

RUAN Xiaogang, LIN Jia, YU Naigong, ZHU Xiaoqing, OUATTARA Sie. Moving Hand Segmentation Based on Multi-cues[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1088-1095. doi: 10.11999/JEIT160730

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Moving Hand Segmentation Based on Multi-cues

doi: 10.11999/JEIT160730

Funds:

The National Natural Science Foundation of China (61375086), The Key Project of ST Plan of Beijing Municipal Commission of Education (KZ201610005010)

Received Date: 2016-07-08
Rev Recd Date: 2017-01-03
Publish Date: 2017-05-19

Abstract

Abstract

For moving hand segmentation, in order not to use unreasonable assumptions and to solve the hand-face occlusion, a segmentation method based on skin color, grayscale, depth and motion cues is proposed. Firstly, according to the variance information of grayscale and depth optical flow, Motion Region of Interest (MRoI) is adaptively extracted to locate the moving body part. Then, corners which satisfy skin color and adaptive motion constraints are detected as skin seed points in the MRoI. Next, skin seed points are grown to [JL1]obtain candidate hand region utilizing skin color, depth and motion criterions. Finally, edge depth gradient, skeleton extraction and optimal path search are employed to segment moving hand region from candidate hand region. Experiment results show that the proposed method can effectively and accurately segment moving hand region under different circumstances, especially when the face is occluded by the hand.
- Moving hand segmentation,
- Multi-cues,
- Assumption free,
- Hand-face occlusion

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References(29)

References

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