Abstract
In this paper, we present a computer vision based system able to detect human falls. We show in detail all the stages of our system and the considerations taken for the provided results. We propose a simple scheme for detection and tracking followed by a Finite State Machine (FSM). The proposed system presents a good performance under different environment conditions.
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Trullo, R., Martinez, D. (2015). Detecting Human Falls: A Vision-FSM Approach. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_64
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DOI: https://doi.org/10.1007/978-3-319-23192-1_64
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