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- W2804870843 abstract "The paper provides a specific perspective view on background subtraction for moving object detection, as a building block for many computer vision applications, being the first relevant step for subsequent recognition, classification, and activity analysis tasks. Since color information is not sufficient for dealing with problems like light switches or local gradual changes of illumination, shadows cast by the foreground objects, and color camouflage, new information needs to be caught to deal with these issues. Depth synchronized information acquired by low-cost RGBD sensors is considered in this paper to give evidence about which issues can be solved, but also to highlight new challenges and design opportunities in several applications and research areas." @default.
- W2804870843 created "2018-06-01" @default.
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- W2804870843 date "2018-05-16" @default.
- W2804870843 modified "2023-10-14" @default.
- W2804870843 title "Background Subtraction for Moving Object Detection in RGBD Data: A Survey" @default.
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- W2804870843 doi "https://doi.org/10.3390/jimaging4050071" @default.
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