A Multi-Camera Vision System for Fall Detection and Alarm Generation
Abstract: In-house video surveillance can represent an excellent support for people with some difficulties (e.g. elderly or disabled people) living alone and with a limited autonomy. New hardware technologies and in particular digital cameras are now affordable and they have recently gained credit as tools for (semi-)automatically assuring people's safety. In this paper a multi-camera vision system for detecting and tracking people and recognizing dangerous behaviours and events such as a fall is presented. In such a situation a suitable alarm can be sent, e.g. by means of an SMS. A novel technique of warping people's silhouette is proposed to exchange visual information between partially overlapped cameras whenever a camera handover occurs. Finally, a multi-client and multi-threaded transcoding video server delivers live video streams to operators/remote users in order to check the validity of a received alarm. Semantic and event-based transcoding algorithms are used to optimize the bandwidth usage. A two-room setup has been created in our laboratory to test the performance of the overall system and some of the results obtained are reported.
Citation:
Cucchiara, Rita; Prati, Andrea; Vezzani, Roberto "A Multi-Camera Vision System for Fall Detection and Alarm Generation" EXPERT SYSTEMS, vol. 24, pp. 334 -345 , 2007 DOI: 10.1111/j.1468-0394.2007.00438.x
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- DOI: 10.1111/j.1468-0394.2007.00438.x