Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features

Research article (Multimedia Tools and Applications, 2016) · cited 44× · AI/ML
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Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features

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Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features is a scholarly article[1].

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  • Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features. Retrieved May 24, 2026, from https://4ort.xyz/entity/action-recognition-from-depth-sequences-using-weighted-fusion-of-2d-and-3d-auto-correlation-of-gradients-features
MLA “Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/action-recognition-from-depth-sequences-using-weighted-fusion-of-2d-and-3d-auto-correlation-of-gradients-features.
BibTeX @misc{4ortxyz_action-recognition-from-depth-sequences-using-weighted-fusion-of-2d-and-3d-auto-correlation-of-gradients-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features}}, year = {2026}, url = {https://4ort.xyz/entity/action-recognition-from-depth-sequences-using-weighted-fusion-of-2d-and-3d-auto-correlation-of-gradients-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features — https://4ort.xyz/entity/action-recognition-from-depth-sequences-using-weighted-fusion-of-2d-and-3d-auto-correlation-of-gradients-features (retrieved 2026-05-24)

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