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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cambul, G. Sahin, M.R. Karshgil, M.E. |
| Copyright Year | 2006 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul (Cambul, G.; Sahin, M.R.; Karshgil, M.E.) |
| Abstract | In this study, a fall detection system with real time video tracking is implemented to be used where people must be in continuous supervision. Automatic detection of a falling person from a video image is an important problem especially in security and safety applications such as supportive home environments and closed surveillance systems. In this work, first human motion is detected in videos and then tracked. The approach presented here is different from other approaches in the literature. In our work, images grabbed from a continuous video source are stored and if no motion is detected, previously stored still images are evaluated to decide whether the "no motion" condition is a result of a fall |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 2800173 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424402387 |
| DOI | 10.1109/SIU.2006.1659790 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-17 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Domestic safety Tracking Humans Motion detection Security |
| Content Type | Text |
| Resource Type | Article |
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