17.1.3.7.9 Incremental Learning for Human Action Recognition

Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De], Liang, W.[Wei],
Incremental discriminant-analysis of canonical correlations for action recognition,
PR(43), No. 12, December 2010, pp. 4190-4197.
Elsevier DOI 1003
BibRef
Earlier: A1, A3, A2:
Incremental discriminative-analysis of canonical correlations for action recognition,
ICCV09(2035-2041).
IEEE DOI 0909
Human action recognition; Incremental discriminant-analysis; Computer vision BibRef

Zhang, L.[Lei], Zhen, X.T.[Xian-Tong], Shao, L.[Ling],
Learning Object-to-Class Kernels for Scene Classification,
IP(23), No. 8, August 2014, pp. 3241-3253.
IEEE DOI 1408
BibRef
And:
High order co-occurrence of visualwords for action recognition,
ICIP12(757-760).
IEEE DOI 1302
image classification BibRef

Zhang, L.[Lei], Shum, H.P.H.[H. P. H.], Shao, L.[Ling],
Manifold Regularized Experimental Design for Active Learning,
IP(26), No. 2, February 2017, pp. 969-981.
IEEE DOI 1702
design of experiments BibRef

Zhang, L.[Lei], Xie, S.Z.[Shou-Zhi], Zhen, X.T.[Xian-Tong],
Discriminative high-level representations for scene classification,
ICIP13(4345-4348)
IEEE DOI 1402
High-level representation BibRef

Tang, J.[Jun], Shao, L.[Ling], Zhen, X.T.[Xian-Tong],
Human Action Retrieval via efficient feature matching,
AVSS13(306-311)
IEEE DOI 1311
content-based retrieval. Finding videos of the same actions. BibRef

Chen, C.Y.[Chao-Yeh], Grauman, K.[Kristen],
Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search,
PAMI(39), No. 5, May 2017, pp. 908-921.
IEEE DOI 1704
BibRef
Earlier:
Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots,
CVPR13(572-579)
IEEE DOI 1309
BibRef
And:
Efficient activity detection with max-subgraph search,
CVPR12(1274-1281).
IEEE DOI 1208
Detectors. BibRef

Bandla, S.I.[Sun-Il], Grauman, K.[Kristen],
Active Learning of an Action Detector from Untrimmed Videos,
ICCV13(1833-1840)
IEEE DOI 1403
action detection BibRef

Ali, S.[Samr], Bouguila, N.[Nizar],
Multimodal action recognition using variational-based Beta-Liouville hidden Markov models,
IET-IPR(14), No. 17, 24 December 2020, pp. 4785-4794.
DOI Link 2104
BibRef
Earlier:
Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition,
ICIP20(3249-3253)
IEEE DOI 2011
Hidden Markov models, Surveillance, Mathematical model, Data models, Training, Adaptation models, Hidden Markov Models, Variational Learning BibRef

Najar, F.[Fatma], Bouguila, N.[Nizar],
Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures,
ISVC20(II:27-38).
Springer DOI 2103
BibRef

Najar, F.[Fatma], Bourouis, S.[Sami], Zaguia, A.[Atef], Bouguila, N.[Nizar], Belghith, S.[Safya],
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM,
ICIAR18(408-415).
Springer DOI 1807
BibRef

Gutoski, M.[Matheus], Lazzaretti, A.E.[André Eugenio], Lopes, H.S.[Heitor Silvério],
Incremental human action recognition with dual memory,
IVC(116), 2021, pp. 104313.
Elsevier DOI 2112
Incremental learning, Human Action Recognition, Metric Learning, Triplet Networks, Dual-memory Extreme Value Machine BibRef

Park, J.[Jaeyoo], Kang, M.S.[Min-Soo], Han, B.H.[Bo-Hyung],
Class-Incremental Learning for Action Recognition in Videos,
ICCV21(13678-13687)
IEEE DOI 2203
Learning systems, Image recognition, Benchmark testing, Linear programming, Task analysis, Standards, Video analysis and understanding BibRef

Ma, J.W.[Jia-Wei], Tao, X.Y.[Xiao-Yu], Ma, J.X.[Jian-Xing], Hong, X.P.[Xiao-Peng], Gong, Y.H.[Yi-Hong],
Class Incremental Learning for Video Action Classification,
ICIP21(504-508)
IEEE DOI 2201
Manifolds, Neurons, Machine learning, Feature extraction, Object recognition, Task analysis, Class Incremental Learning, Grow When Required network BibRef

Khoshrou, S.[Samaneh], Cardoso, J.S.[Jaime S.], Granger, E.[Eric], Teixeira, L.F.[Luís F.],
Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams,
ISVC15(II: 509-520).
Springer DOI 1601
BibRef
Earlier: A1, A2, A4, Only:
Active Learning from Video Streams in a Multi-camera Scenario,
ICPR14(1248-1253)
IEEE DOI 1412
Accuracy BibRef

Liu, X.H.[Xiang-Hang], Zhang, J.[Jian],
Active learning for human action recognition with Gaussian Processes,
ICIP11(3253-3256).
IEEE DOI 1201
BibRef

Xu, J.[Jie], Ye, G.[Getian], Wang, Y.[Yang], Wang, W.[Wei], Yang, J.[Jun],
Online Learning for PLSA-Based Visual Recognition,
ACCV10(II: 95-108).
Springer DOI 1011
BibRef

Xu, J.[Jie], Ye, G.[Getian], Wang, Y.[Yang], Herman, G.[Gunawan], Zhang, B.[Bang], Yang, J.[Jun],
Incremental EM for Probabilistic Latent Semantic Analysis on Human Action Recognition,
AVSBS09(55-60).
IEEE DOI 0909
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Convolutional Neural Networks for Human Action Recognition and Detection .