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Modeling depth for nonparametric foreground segmentation using RGBD devices

Research article (Pattern Recognition Letters, 2016) · cited 36× · AI/ML
academia openalex:W2521178580
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Modeling depth for nonparametric foreground segmentation using RGBD devices

Summary

Modeling depth for nonparametric foreground segmentation using RGBD devices is a scholarly article[1].

Key Facts

  • Modeling depth for nonparametric foreground segmentation using RGBD devices's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Modeling depth for nonparametric foreground segmentation using RGBD devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-depth-for-nonparametric-foreground-segmentation-using-rgbd-devices
MLA “Modeling depth for nonparametric foreground segmentation using RGBD devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-depth-for-nonparametric-foreground-segmentation-using-rgbd-devices.
BibTeX @misc{4ortxyz_modeling-depth-for-nonparametric-foreground-segmentation-using-rgbd-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling depth for nonparametric foreground segmentation using RGBD devices}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-depth-for-nonparametric-foreground-segmentation-using-rgbd-devices}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling depth for nonparametric foreground segmentation using RGBD devices — https://4ort.xyz/entity/modeling-depth-for-nonparametric-foreground-segmentation-using-rgbd-devices (retrieved 2026-05-24)

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