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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Adar, U.G. Bayindir, L. |
| Copyright Year | 2015 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Ataturk Univ., Erzurum, Turkey (Adar, U.G.; Bayindir, L.) |
| Abstract | Indoor environments are structures divided into rooms and corridors, and have doors that are used to move between those sections. Indoor localization is possible by detecting and tracking doors. In this study, a door detection method that detects doors by finding door corners in camera images has been reconsidered and changed to be able to find only the most suitable door candidate in images. Compatibly with the original study, 86.6% true positive success rate is obtained from the method. This method is planned to be used in the future as part of a vision-based indoor localization system. |
| Starting Page | 2005 |
| Ending Page | 2008 |
| File Size | 312636 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467373869 |
| DOI | 10.1109/SIU.2015.7130258 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-16 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision support systems css Tracking Conferences Image edge detection Indoor environments indoor localization door detection Cameras corner detection edge detection canny Cascading style sheets |
| Content Type | Text |
| Resource Type | Article |
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