Abstract
People tracking is one of the fundamental goals of human behavior recognition. Development of cameras, tracking algorithms and effective computations make it appropriate. But, when the question is privacy and secrecy, cameras have a great obligation on it. Our fundamental goal of this research is to replace video camera with a device (2D LiDAR) that significantly preserve the privacy of the user, solve the issue of narrow field of view and make the system functional simultaneously. We consider individual movements of every moving objects on the plane and figure out the objects as a person based on ankle orientation and movements. Our approach calculates the number of frames of every moving object and finally create a video based on those frames.
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Hasan, M., Hanawa, J., Goto, R., Fukuda, H., Kuno, Y., Kobayashi, Y. (2021). Tracking People Using Ankle-Level 2D LiDAR for Gait Analysis. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_7
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DOI: https://doi.org/10.1007/978-3-030-51328-3_7
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