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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/918A1E05-918B-4C23-ACFA-0682C54E5624 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | 3D measures computed in monocular camera system for fall detection | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Makantasis Konstantinos | en |
| Creator | Μακαντασης Κωνσταντινος | el |
| Creator | Doulamis, Anastasios | en |
| Content Summary | Traumas resulting from falls have been reported as the second most common cause of death. For this reason, computer vision tools can be exploited for detecting humans’ fall incidents. In this paper, we propose a fast, real-time computer vision algorithm capable to detect humans’ falls in complex dynamically changing conditions, by exploiting the motion information in the scene and 3D space’s measures. This algorithm is using a single monocular low cost camera and it requires minimal computational cost and minimal memory requirements that make it suitable for large scale implementations in clinical institutes and home environments. The proposed scheme was tested in complex and dynamically changing visual conditions and as proved by the experiments it has the capability to detect over 92% of fall incident | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-04 | - |
| Date of Publication | 2012 | - |
| Subject | Image motion analysis | en |
| Bibliographic Citation | K. Makantasis, A. Doulamis, N. Matsatsinis ,"3D measures computed in monocular camera system for fall detection,"in 2nd International Conference on Advanced Communications and Computation,2012,pp.68-73. | en |
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