16.7.4.6.1 Accumulation Methods, Motion Histograms for Human Action Recognition

Chapter Contents (Back)
Action Recognition. Histogram.

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

Shi, F.[Feng], Laganière, R.[Robert], Petriu, E.[Emil],
Local part model for action recognition,
IVC(46), No. 1, 2016, pp. 18-28.
Elsevier DOI 1603
BibRef
And:
Gradient Boundary Histograms for Action Recognition,
WACV15(1107-1114)
IEEE DOI 1503
BibRef
Earlier: A1, A3, A2:
Sampling Strategies for Real-Time Action Recognition,
CVPR13(2595-2602)
IEEE DOI 1309
Accuracy Bag-of-features (BoF) BibRef

Whiten, C.[Chris], Laganiere, R.[Robert], Bilodeau, G.A.[Guillaume-Alexandre],
Efficient Action Recognition with MoFREAK,
CRV13(319-325)
IEEE DOI 1308
Accuracy 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


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, Three-dimensional displays, 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, Three-dimensional displays, 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
Spatio-Temporal Techniques for Human Action Recognition and Detection .


Last update:Jun 13, 2019 at 09:53:00