3D measures computed in monocular camera system for fall detection 3D measures computed in monocular camera system for fall detection Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-11-042012enTraumas 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 incidenthttp://creativecommons.org/licenses/by/4.0/68-732nd International Conference on Advanced Communications and Computation Matsatsinis Nikolaos Ματσατσινης Νικολαος Makantasis Konstantinos Μακαντασης Κωνσταντινος Doulamis, Anastasios Image motion analysis