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- W767484245 abstract "Autonomous driving robots (UGVs, Unmanned Ground Vehicles) equipped with visual-optical (VIS) cameras offer a high potential to automatically detect suspicious occurrences and dangerous or threatening situations on patrol. In order to explore this potential, the scene of interest is recorded first on a reference tour representing the 'everything okay' situation. On further patrols changes are detected with respect to the reference in a two step processing scheme. In the first step, an image retrieval is done to find the reference images that are closest to the current camera image on patrol. This is done efficiently based on precalculated image-to-image registrations of the reference by optimizing image overlap in a local reference search (after a global search when that is needed). In the second step, a robust spatio-temporal change detection is performed that widely compensates 3-D parallax according to variations of the camera position. Various results document the performance of the presented approach." @default.
- W767484245 created "2016-06-24" @default.
- W767484245 creator A5090337152 @default.
- W767484245 date "2015-05-19" @default.
- W767484245 modified "2023-09-23" @default.
- W767484245 title "Change detection on UGV patrols with respect to a reference tour using VIS imagery" @default.
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- W767484245 doi "https://doi.org/10.1117/12.2182663" @default.
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