Zoetgnande, Yannick Wend Kuni and Dillenseger, Jean-Louis (2022) A generic interpretable fall detection framework based on low-resolution thermal images. In: Proceedings of the 4th edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Faso.
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Abstract
In this paper, we addressed the problem of fall detection using low-resolution thermal
images. We proposed a new method for fall detection only based on the reconstructed matches
and a determined threshold. By classifying a pair of matched points on the ground or not on the
ground, we could easily d
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:18 |
| Last Modified: | 17 Apr 2026 06:17 |
| URI: | http://eprints.eai.eu/id/eprint/38666 |
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