Action Segmentation for RGB Video Frames Using Skeleton 3D Data of NTURGB+D
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3391-2_15
Reference14 articles.
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3. Chen G-J, Chang I-C, Yeh H-Y (2017) Action segmentation based on bag-of-visual-words models. In: 2017 10th international conference on Ubi-media computing and workshops (Ubi-Media), pp 1–5
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5. Lv F, Nevatia R (2006) Recognition and segmentation of 3-D human action using HMM and multi-class AdaBoost. Lectures notes computer science (Including Subser. lectures notes artificial intelligence lectures notes bioinformatics), vol 3954. LNCS, pp 359–372
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