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.
Cite
CITATION STYLE
Trullo, R., & Martinez, D. (2015). Detecting human falls: A vision-fsm approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9256, pp. 766–777). Springer Verlag. https://doi.org/10.1007/978-3-319-23192-1_64
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