17.1.3.6.12 Human Action Recognition, Sparse Techniques, Low-Rank, SVM

Chapter Contents (Back)
Action Recognition. Human Actions. Low-Rank Representation. Sparse Representation.

Yang, S.Y.[Shu-Yuan], Wang, X.X.[Xiu-Xiu], Yang, L.X.[Li-Xia], Han, Y.[Yue], Jiao, L.C.[Li-Cheng],
Semi-supervised action recognition in video via Labeled Kernel Sparse Coding and sparse L1 graph,
PRL(33), No. 14, 15 October 2012, pp. 1951-1956.
Elsevier DOI 1209
Action recognition; Semi-supervised; Labeled Kernel Sparse Coding; Sparse L1 graph BibRef

Yang, S.Y.[Shu-Yuan], Wang, X.X.[Xiu-Xiu], Wang, M., Han, Y.[Yue], Jiao, L.C.[Li-Cheng],
Semi-supervised low-rank representation graph for pattern recognition,
IET-IPR(7), No. 2, 2013, pp. xx-yy.
DOI Link 1307
BibRef

Wu, X.X.[Xin-Xiao], Xu, D.[Dong], Duan, L.X.[Li-Xin], Luo, J.B.[Jie-Bo], Jia, Y.D.[Yun-De],
Action Recognition Using Multilevel Features and Latent Structural SVM,
CirSysVideo(23), No. 8, 2013, pp. 1422-1431.
IEEE DOI 1308
Context BibRef

Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De],
View-Invariant Action Recognition Using Latent Kernelized Structural SVM,
ECCV12(V: 411-424).
Springer DOI 1210
BibRef

Chiang, H.F.[Hui-Fen], Hsieh, J.W.[Jun-Wei], Chuang, C.H.[Chi-Hung], Chuang, K.T.[Kai-Ting], Yan, Y.L.[Yi-Lin],
Modeling and recognizing action contexts in persons using sparse representation,
JVCIR(30), No. 1, 2015, pp. 252-265.
Elsevier DOI 1507
Sparse coding BibRef

Dehghan, A.[Afshin], Oreifej, O.[Omar], Shah, M.[Mubarak],
Complex event recognition using constrained low-rank representation,
IVC(42), No. 1, 2015, pp. 13-21.
Elsevier DOI 1509
Complex event recognition BibRef

Wu, S.D.[Shan-Dong], Oreifej, O.[Omar], Shah, M.[Mubarak],
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories,
ICCV11(1419-1426).
IEEE DOI 1201
BibRef

Zhao, M.[Miaoyun], Jiao, L.C.[Li-Cheng], Ma, W.P.[Wen-Ping], Liu, H.Y.[Hong-Ying], Yang, S.Y.[Shu-Yuan],
Classification and saliency detection by semi-supervised low-rank representation,
PR(51), No. 1, 2016, pp. 281-294.
Elsevier DOI 1601
Low rank representation BibRef

Cheng, S.L.[Shi-Lei], Gu, S.[Song], Ye, M.Q.[Mao-Quan], Xie, M.[Mei],
Action Recognition Using Low-Rank Sparse Representation,
IEICE(E101-D), No. 3, March 2018, pp. 830-834.
WWW Link. 1804
BibRef

Liu, T.L.[Tian-Liang], Dong, X.D.[Xiao-Dong], Wang, Y.Z.[Yan-Zhang], Dai, X.B.[Xiu-Bin], You, Q.Z.[Quan-Zeng], Luo, J.B.[Jie-Bo],
Double-layer conditional random fields model for human action recognition,
SP:IC(80), 2020, pp. 115672.
Elsevier DOI 1912
Action recognition, Double-layer CRFs, Graphical model, RGB-D video, Structured SVM BibRef

Liu, T.L.[Tian-Liang], Wang, X.C.[Xin-Cheng], Dai, X.B.[Xiu-Bin], Luo, J.B.[Jie-Bo],
Deep recursive and hierarchical conditional random fields for human action recognition,
WACV16(1-9)
IEEE DOI 1606
Computational modeling BibRef

Zhao, Y.[Yue], Xiong, Y.J.[Yuan-Jun], Wang, L.M.[Li-Min], Wu, Z.R.[Zhi-Rong], Tang, X.[Xiaoou], Lin, D.[Dahua],
Temporal Action Detection with Structured Segment Networks,
IJCV(128), No. 1, January 2020, pp. 74-95.
Springer DOI 2002
BibRef
Earlier: ICCV17(2933-2942)
IEEE DOI 1802
feature extraction, image classification, image motion analysis, learning (artificial intelligence), Videos BibRef

Wu, T.[Tao], Cao, M.Q.[Meng-Qi], Gao, Z.T.[Zi-Teng], Wu, G.S.[Gang-Shan], Wang, L.M.[Li-Min],
STMixer: A One-Stage Sparse Action Detector,
CVPR23(14720-14729)
IEEE DOI 2309
BibRef

Xiong, Y.J.[Yuan-Jun], Zhu, K.[Kai], Lin, D.[Dahua], Tang, X.[Xiaoou],
Recognize complex events from static images by fusing deep channels,
CVPR15(1600-1609)
IEEE DOI 1510
BibRef


Nourbakhsh, F.[Farshad], Granger, E.[Eric], Fumera, G.[Giorgio],
An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance,
HIS16(III: 360-376).
Springer DOI 1704
BibRef

Liu, W.F.[Wei-Feng], Wang, Z.[Zhen], Tao, D.P.[Da-Peng], Yu, J.[Jun],
Hessian Regularized Sparse Coding for Human Action Recognition,
MMMod15(II: 502-511).
Springer DOI 1501
BibRef

Chen, Y.B.[Yuan-Bo], Zhao, Y.Y.[Yan-Yun], Zhuang, B.J.[Bo-Jin], Cai, A.N.[An-Ni],
Discriminative multi-modality non-negative sparse graph model for action recognition,
VCIP14(53-56)
IEEE DOI 1504
graph theory BibRef

Chen, Y.B.[Yuan-Bo], Zhao, Y.Y.[Yan-Yun], Cai, A.N.[An-Ni],
Recognizing human actions based on Sparse Coding with Non-negative and Locality constraints,
VCIP13(1-6)
IEEE DOI 1402
convex programming BibRef

Gao, Z.[Zan], Liu, A.A.[An-An], Zhang, H.[Hua], Xu, G.P.[Guang-Ping], Xue, Y.B.[Yan-Bing],
Human action recognition based on sparse representation induced by L1/L2 regulations,
ICPR12(1868-1871).
WWW Link. 1302
BibRef

Lu, G.L.[Guo-Liang], Kudo, M.[Mineichi], Toyama, J.[Jun],
Action recognition via sparse representation of characteristic frames,
ICPR12(3268-3271).
WWW Link. 1302
BibRef

Yi, S.[Saehoon], Pavlovic, V.[Vladimir],
Sparse Granger causality graphs for human action classification,
ICPR12(3374-3377).
WWW Link. 1302
BibRef

Vig, E.[Eleonora], Dorr, M.[Michael], Cox, D.D.[David D.],
Saliency-based selection of sparse descriptors for action recognition,
ICIP12(1405-1408).
IEEE DOI 1302
BibRef

Amiri, S.M.[S. Mohsen], Nasiopoulos, P.[Panos], Leung, V.C.M.[Victor C.M.],
Non-negative sparse coding for human action recognition,
ICIP12(1421-1424).
IEEE DOI 1302
BibRef

Liu, J.[Jia], Yang, J.[Jie], Zhang, Y.[Yi], He, X.J.[Xiang-Jian],
Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM,
ICPR10(3744-3747).
IEEE DOI 1008
BibRef

Danafar, S.[Somayeh], Gheissari, N.[Niloofar],
Action Recognition for Surveillance Applications Using Optic Flow and SVM,
ACCV07(II: 457-466).
Springer DOI 0711
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Egocentric Human Action Recognition, First Person, Wearable Monitoring .


Last update:Apr 27, 2024 at 11:46:35