Abstract
People use their hands the most to interact with computers. However, there are many inherent problems with the methods used for hand detection. Various shapes of hands, complex backgrounds and illumination can induce much misdetection. To use hands to interact with a computer, it is very important to have a robust hand area. Therefore, this paper proposes a method of acquiring a robust hand area in various environments. The proposed system operates in real-time and has good performance in environments of various illuminations and complex backgrounds.
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Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Education) (NRF-2016R1D1A1B03934666).
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Hong, DG., Lee, D. (2020). Vision-Based Hand Detection in Various Environments. In: P. P. Abdul Majeed, A., Mat-Jizat, J., Hassan, M., Taha, Z., Choi, H., Kim, J. (eds) RITA 2018. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8323-6_29
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DOI: https://doi.org/10.1007/978-981-13-8323-6_29
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Online ISBN: 978-981-13-8323-6
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