Journal of System Simulation
Abstract
Abstract: To extract human contour in still images, we propose a human contour extraction method based on skeleton matching. Skeleton key points are points representing human skeleton in images. Optimal human contour key points corresponding to skeleton key pointscanbe extracted by constructing hidden Markov modelthrough skeleton key points and image pixels' edge information combined with human body morphology as prior knowledge. Few human contour key points can generate reasonable human contour. TheHermiteinterpolation is usedto connect these key points to obtain human contour. Experimentresults show thatour method can extract reasonable human contour in simple scene, andhas higher speed and achieves better results in complicated scenecompared to previous methods.
Recommended Citation
Yuan, Zhang; Hao, Jiang; Zhu, Dengming; and Wang, Zhaoqi
(2020)
"Human Contour Extraction Based on Skeleton Matching,"
Journal of System Simulation: Vol. 29:
Iss.
11, Article 25.
DOI: 10.16182/j.issn1004731x.joss.201711025
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/25
First Page
2774
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201711025
Last Page
2781
CLC
TP.391.9
Recommended Citation
Zhang Yuan, Jiang Hao, Zhu Dengming, Wang Zhaoqi. Human Contour Extraction Based on Skeleton Matching[J]. Journal of System Simulation, 2017, 29(11): 2774-2781.
DOI
10.16182/j.issn1004731x.joss.201711025
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