16.7.4.6.2 Accumulation Methods, Motion Histograms for Human Action Recognition

Chapter Contents (Back)
Action Recognition. Histogram. See also Motion Flow, Motion Vectors for Human Action Recognition and Detection.

Luo, Q.S.[Qing-Shan], Kong, X.D.[Xiao-Dong], Zeng, G.H.[Gui-Hua], Fan, J.P.[Jian-Ping],
Human action detection via boosted local motion histograms,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Chan-Hon-Tong, A.[Adrien], Achard, C.[Catherine], Lucat, L.[Laurent],
Simultaneous segmentation and classification of human actions in video streams using deeply optimized Hough transform,
PR(47), No. 12, 2014, pp. 3807-3818.
Elsevier DOI 1410
Human actions BibRef

Vaquette, G.[Geoffrey], Achard, C.[Catherine], Lucat, L.[Laurent],
Robust information fusion in the DOHT paradigm for real-time action detection,
RealTimeIP(16), No. 5, October 2019, pp. 1511-1524.
WWW Link. 1911
Deeply Optimized Hough Transform: DOHT. BibRef

Hara, K.[Kensho], Hirayama, T.[Takatsugu], Mase, K.[Kenji],
Vote Distribution Model for Hough-Based Action Detection,
IEICE(E99-D), No. 11, November 2016, pp. 2796-2808.
WWW Link. 1611
BibRef

Zhang, B., Yang, Y., Chen, C., Yang, L., Han, J., Shao, L.,
Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier,
IP(26), No. 10, October 2017, pp. 4648-4660.
IEEE DOI 1708
feature extraction, image motion analysis, 3D Histograms, MBC, boosting frameworks, discriminant feature extraction, human action recognition, orthogonal Cartesian planes, projecting depth frames, Boosting, Hidden Markov models, Histograms, Robustness, Action recognition, depth image, multi-class classification, texture feature BibRef

Chen, Q.Q.[Quan-Qi], Zhang, Y.J.[Yu-Jin],
Sequential Segment Networks for Action Recognition,
SPLetters(24), No. 5, May 2017, pp. 712-716.
IEEE DOI 1704
Histograms BibRef

Du, W.B.[Wen-Bin], Wang, Y.[Yali], Qiao, Y.[Yu],
Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos,
IP(27), No. 3, March 2018, pp. 1347-1360.
IEEE DOI 1801
BibRef
And:
RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,
ICCV17(3745-3754)
IEEE DOI 1802
Computer vision, Feature extraction, Image recognition, Optical imaging, Recurrent neural networks, spatial-temporal attention. image motion analysis, pose estimation, video signal processing, RNNs, RPAN, BibRef

Wang, J.[Jiaze], Peng, X.J.[Xiao-Jiang], Qiao, Y.[Yu],
Cascade multi-head attention networks for action recognition,
CVIU(192), 2020, pp. 102898.
Elsevier DOI 2002
Action recognition, Cascade multi-head attention network, Feature aggregation, Visual analysis BibRef


Yuan, Z., Stroud, J.C., Lu, T., Deng, J.,
Temporal Action Localization by Structured Maximal Sums,
CVPR17(3215-3223)
IEEE DOI 1711
Benchmark testing, Computational efficiency, Computational modeling, Feature extraction, Neural networks, Videos BibRef

Luo, C., Yuille, A.L.[Alan L.],
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition,
ICCV19(5511-5520)
IEEE DOI 2004
feature extraction, image motion analysis, image representation, image sequences, inference mechanisms, Computational efficiency BibRef

Hara, K.[Kensho], Hirayama, T.[Takatsugu], Mase, K.[Kenji],
Trend-sensitive hough forests for action detection,
ICIP14(1475-1479)
IEEE DOI 1502
Accuracy BibRef

Kobayashi, T.[Takumi],
Flip-Invariant Motion Representation,
ICCV17(5629-5638)
IEEE DOI 1802
Cameras, Feature extraction, Histograms, Image color analysis, Image recognition, Robustness, Video sequences BibRef

Monteleone, V.[Vito], lo Presti, L.[Liliana], La Cascia, M.[Marco],
HoP: Histogram of Patterns for Human Action Representation,
CIAP17(I:457-468).
Springer DOI 1711
BibRef

Abdulmunem, A., Lai, Y.K., Sun, X.,
3D GLOH features for human action recognition,
ICPR16(805-810)
IEEE DOI 1705
Computer vision, Feature extraction, Histograms, Image motion analysis, Videos, Visualization BibRef

Hilsenbeck, B., Münch, D., Kieritz, H.[Hilke], Hübner, W.[Wolfgang], Arens, M.[Michael],
Hierarchical Hough forests for view-independent action recognition,
ICPR16(1911-1916)
IEEE DOI 1705
Cameras, Detectors, Face recognition, Image sequences, Training, Vegetation BibRef

García-Hernando, G.B.[Gloria Bueno], Chang, H.J., Serrano, I., Deniz Suarez, O.[Oscar], Kim, T.K.,
Transition Hough forest for trajectory-based action recognition,
WACV16(1-8)
IEEE DOI 1606
Cameras BibRef

Tian, Q.[Qing], Arbel, T.[Tal], Clark, J.J.[James J.],
Shannon information based adaptive sampling for action recognition,
ICPR16(967-972)
IEEE DOI 1705
Brain modeling, Detectors, Feature extraction, Histograms, Pattern recognition, Trajectory, Visualization BibRef

Miao, J.[Jie], Xu, X.M.[Xiang-Min], Mathew, R.[Reji], Huang, H.[Haoyu],
Residue boundary histograms for action recognition in the compressed domain,
ICIP15(2825-2829)
IEEE DOI 1512
Compressed domain; action recognition; feature extraction BibRef

Ahsan, S.M.M.[S.M. Masudul], Tan, J.K.[Joo Kooi], Kim, H.[Hyoungseop], Ishikawa, S.[Seiji],
Histogram of DMHI and LBP images to represent human actions,
ICIP14(1440-1444)
IEEE DOI 1502
DMHI; Histogram; LBP; MHI; SVM BibRef

Ciptadi, A.[Arridhana], Goodwin, M.S.[Matthew S.], Rehg, J.M.[James M.],
Movement Pattern Histogram for Action Recognition and Retrieval,
ECCV14(II: 695-710).
Springer DOI 1408
BibRef

Chua, T.W.[Teck Wee], Leman, K.[Karianto],
A Novel Human Action Representation via Convolution of Shape-Motion Histograms,
MMMod14(I: 98-108).
Springer DOI 1405
BibRef

Ren, H.M.[Hua-Min], Moeslund, T.B.[Thomas B.],
Action recognition using salient neighboring histograms,
ICIP13(2807-2811)
IEEE DOI 1402
Salient visual words; action recognition; neighboring histograms BibRef

Hara, K., Hirayama, T., Mase, K.,
Simultaneous Action Recognition and Localization Based on Multi-view Hough Voting,
ACPR13(616-620)
IEEE DOI 1408
Hough transforms BibRef

Chan-Hon-Tong, A.[Adrien], Achard, C.[Catherine],
Deeply Optimized Hough Transform: Application to Action Segmentation,
CIAP13(I:51-60).
Springer DOI 1311
BibRef

Fuad, Z.[Zain], Unel, M.[Mustafa],
Human Action Recognition Using Fusion of Depth and Inertial Sensors,
ICIAR18(373-380).
Springer DOI 1807
BibRef

Ustundag, B.C.[Baris Can], Unel, M.[Mustafa],
Human Action Recognition Using Histograms of Oriented Optical Flows from Depth,
ISVC14(I: 629-638).
Springer DOI 1501
BibRef

Sultani, W.[Waqas], Saleemi, I.[Imran],
Human Action Recognition across Datasets by Foreground-Weighted Histogram Decomposition,
CVPR14(764-771)
IEEE DOI 1409
action recognition BibRef

Tabia, H.[Hedi], Gouiffes, M.[Michele], Lacassagne, L.[Lionel],
Motion histogram quantification for human action recognition,
ICPR12(2404-2407).
WWW Link. 1302
BibRef

Perez, E.A.[Eder A.], Mota, V.F.[Virginia F.], Maciel, L.M.[Luiz Maurilio], Sad, D.[Dhiego], Vieira, M.B.[Marcelo B.],
Combining gradient histograms using orientation tensors for human action recognition,
ICPR12(3460-3463).
WWW Link. 1302
BibRef

Lo, Y.C.[Yung-Chi], Lee, P.Y.[Po-Yen], Cheng, S.C.[Shyi-Chyi],
Space-time template matching for human action detection using volume-based Generalized Hough transform,
ICIP11(2097-2100).
IEEE DOI 1201
BibRef

Hsu, F.S.[Fu-Song], Lin, C.H.[Cheng-Hsien], Lin, W.Y.[Wei-Yang],
Recognizing human actions using curvature estimation and NWFE-based histogram vectors,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Ziaeefard, M.[Maryam], Ebrahimnezhad, H.[Hossein],
Hierarchical Human Action Recognition by Normalized-Polar Histogram,
ICPR10(3720-3723).
IEEE DOI 1008
BibRef

Lai, K.T.[Kuan-Ting], Chen, M.S.[Ming-Syan], Hsieh, C.H.[Chaur-Heh], Lai, M.F.[Mao-Fu],
Orientation histogram of SIFT displacement for recognizing actions in broadcast videos,
EUVIP11(286-291).
IEEE DOI 1110
BibRef
Earlier: A1, A3, A4, A2:
Human Action Recognition Using Key Points Displacement,
ICISP10(439-447).
Springer DOI 1006
BibRef

Vezzani, R.[Roberto], Baltieri, D.[Davide], Cucchiara, R.[Rita],
HMM Based Action Recognition with Projection Histogram Features,
ICPR-Contests10(286-293).
Springer DOI 1008
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Flow, Motion Vectors for Human Action Recognition and Detection .


Last update:Dec 3, 2020 at 16:16:50