Abstract
With the popularity of monitoring devices and the completion of monitoring systems, computer vision has been widely used. The analysis and research of human posture is an important part of computer vision and a hot research direction. This paper chooses human motion posture analysis in computer vision as the research direction. By inputting video information, the foreground image is extracted, and the outline of the human body in the foreground image is normalized to get the standard human posture image. Finally, the projection histogram of the human posture image is compared with that of the image in the template library to find the image with the highest similarity, and then the human posture can be determined. This paper realizes the determination of three postures: standing, sitting and lying. An experimental verification is carried out using OpenCV on VS2017 platform. The experimental results show that the proposed method is feasible.
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Li, Z. (2021). Practice on Human Posture Based on OpenCV. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_102
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DOI: https://doi.org/10.1007/978-3-030-53980-1_102
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