Abstract
Cross border detection is often used to monitor the behavior of people in specific places where people often entry and exit, people may cross some unsafe or forbidden borders, thus causing dangerous behaviors, such as large power plant or electrical equipment room. In order to prevent the occurrence of dangerous behaviors, this paper proposed a method for human cross-border alarm detection. First, the camera captures the image of the scene, and design the unsafe bounding line. Second, detect the human and its foot based on OpenPose. Third, when a cross-border behavior occurs, judge whether there is an intersection between the boundary line and the line formed by human feet in two images to send an alarm signal. This method effectively saves costs, replaces artificial ways and improves detection efficiency at the same time, and can make an alarm in time when humans cross an unsafe boundary.
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Acknowledgment
Supported by the National Key R & D Program of China (2018AAA0101703) and the key research and development project of Shandong province (2019GNC106093).
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Yu, H., Zhao, Q., Zhang, Y., Shi, S. (2021). Human Cross-Border Alarm Detection Method Based on OpenPose. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-030-82565-2_39
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DOI: https://doi.org/10.1007/978-3-030-82565-2_39
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