Abstract
The objective of this paper is to propose a method of moving human detection based on depth video. The method used the interframe difference algorithm extract moving human contour from depth video. Due to the depth data provided by depth image, the image noise in the detection result is significantly reduced and the problem caused by human shadow in the detection based on ordinary video is solved. Experiments show that the method can improve the accuracy of the detection result and enhance robustness of moving human detection system.
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Acknowledgments
The work presented in this paper was supported by the National Natural Science Foundation of China (Grant No. NSFC-61170176), Fund for the Doctoral Program of Higher Education of China (Grant No. 20120005110002), National Great Science Specific Project (Grant Nos. 2011 ZX0300200301, 2012ZX03005008), and Beijing Municipal Commission of Education Build Together Project.
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Xu, H., Liu, J., Ming, Y. (2014). Moving Human Detection Based on Depth Interframe Difference. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_101
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DOI: https://doi.org/10.1007/978-81-322-1759-6_101
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1758-9
Online ISBN: 978-81-322-1759-6
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