First-person activity recognition from micro-action representations using convolutional neural networks and object flow histograms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09902-6.pdf
Reference58 articles.
1. Avgerinakis K, Briassouli A, Kompatsiaris Y (2016) Activity detection using sequential statistical boundary detection (ssbd). Comput Vis Image Underst 144:46–61
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3. Bambach S, Lee S, Crandall DJ, Yu C (2015) Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions. In: 2015 IEEE international conference on Computer vision (ICCV). IEEE, pp 1949–1957
4. Chéron G, Laptev I, Schmid C (2015) P-cnn: Pose-based cnn features for action recognition. In: Proceedings of the IEEE international conference on computer vision, pp 3218–3226
5. Crispim-Junior CF, Buso V, Avgerinakis K, Meditskos G, Briassouli A, Benois-Pineau J, Kompatsiaris I, Bremond F (2016) Semantic event fusion of different visual modality concepts for activity recognition. IEEE Trans Pattern Anal Mach Intell 38(8):1598–1611
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