16.7.4.1 Human Motion Understanding and Analysis, Surveys, Reviews, Evaulations

Chapter Contents (Back)
Event Understanding. For detection only: See also Surveys, Evaluation, Datasets, Human Detection, People Detection, Pedestrians.

Wang, J.J.L.[Jessica Jun-Lin], Singh, S.[Sameer],
Video analysis of human dynamics: A Survey,
RealTimeImg(9), No. 5, October 2003, pp. 320-345.
Elsevier DOI 0311
Survey, Human Motion. BibRef

Hilton, A.[Adrian], Fua, P.[Pascal],
Modeling People Toward Vision-Based Understanding of a Person's Shape, Appearance, and Movement,
CVIU(81), No. 3, March 2001, pp. 227-230.
DOI Link 0104
Intro to the issue. BibRef

Hilton, A.[Adrian], Fua, P.[Pascal], Ronfard, R.,
Modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour,
CVIU(103), No. 2-3, November-December 2006, pp. 87-89.
Elsevier DOI 0611
Intro to the issue. BibRef

Hilton, A.,
Towards Model-based Capture of a Persons Shape, Appearance and Motion,
MPeople99(xx-yy). BibRef 9900

Moeslund, T.B.[Thomas B.], Granum, E.[Erik],
A Survey of Computer Vision-Based Human Motion Capture,
CVIU(81), No. 3, March 2001, pp. 231-268.
DOI Link 0001
Survey, Motion Capture. Gesture Recognition. BibRef
Earlier:
Multiple Cues for Model-Based Human Motion Capture,
AFGR00(362-367).
IEEE DOI 0003
BibRef

Moeslund, T.B.[Thomas B.], Hilton, A.[Adrian], Krüger, V.[Volker],
A survey of advances in vision-based human motion capture and analysis,
CVIU(103), No. 2-3, November-December 2006, pp. 90-126.
Elsevier DOI 0611
Survey, Motion Capture. Review; Human motion; Initialization; Tracking; Pose estimation; Recognition BibRef

Klette, R.[Reinhard], Tee, C.,
Understanding Human Motion: A Historic Review,
HumMotBook08(1). 0802
BibRef

Zhan, B.B.[Bei-Bei], Monekosso, D.N.[Dorothy N.], Remagnino, P.[Paolo], Velastin, S.A.[Sergio A.], Xu, L.Q.[Li-Qun],
Crowd analysis: a survey,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI 0810
Survey, Motion, Human. BibRef
Earlier: A1, A3, A4, A2, A5:
Motion Estimation with Edge Continuity Constraint for Crowd Scene Analysis,
ISVC06(II: 861-869).
Springer DOI 0611
BibRef

Candamo, J., Shreve, M., Goldgof, D.B., Sapper, D.B., Kasturi, R.,
Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms,
ITS(11), No. 1, March 2010, pp. 206-224.
IEEE DOI 1003
Survey, Human Detection. BibRef

Ji, X.F.[Xiao-Fei], Liu, H.H.[Hong-Hai],
Advances in View-Invariant Human Motion Analysis: A Review,
SMC-C(40), No. 1, January 2010, pp. 13-24.
IEEE DOI 0912
Survey, Human Motion. Motion, Human. BibRef

Poppe, R.[Ronald],
A survey on vision-based human action recognition,
IVC(28), No. 6, June 2010, pp. 976-990.
Elsevier DOI 1003
Survey, Action Recognition. Award, IVC Most Cited. (for 2009-2011) Award, IVC Most Cited. (for 2010-2012) Human action recognition; Motion analysis; Action detection BibRef

Wang, L., Zhao, G., Rajpoot, N., Nixon, M.S.,
Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions,
SMC-B(40), No. 4, August 2010, pp. 982-985.
IEEE DOI 1008
BibRef

Aggarwal, J.K., Ryoo, M.S.,
Human Activity Analysis: A Review,
Surveys(43), No. 3, April 2011, pp. Article No 16.
DOI Link 1105
Survey, Human Activity. Surveillance systems, patient monitoring systems, human-computer interfaces. Overview of state-of-the-art research papers on human activity recognition. Both simple human actions and high-level activities. BibRef

Gong, S.G.[Shao-Gang], Xiang, T.[Tao],
Visual Analysis of Behaviour: From Pixels to Semantics,
Springer2011.

ISBN: 978-0-85729-669-6.
WWW Link. 1109
Treatment of visual analysis of behavior from computational-modelling and algorithm-design perspectives. Analysis of databases and commercial systems. BibRef

Chen, L., Nugent, C.D., Biswas, J., Hoey, J., (Eds.)
Activity Recognition in Pervasive Intelligent Environments,
Springer2011.

ISBN: 978-90-78677-42-0.
WWW Link. 1109
Activity Recognition: Approaches, Practices and TrendsChen, Liming; Khalil, Ismail An Ontology-Based Context-aware Approach for Behaviour Analysis; Ontology-Based Learning Framework for Activity Assistance in an Adaptive Smart Home; Human Activity Recognition from Wireless Sensor Network Data: Benchmark and Software; Multi-User Activity Recognition in a Smart Home. BibRef

Salah, A.A.[Albert Ali], Gevers, T.[Theo], (Eds.)
Computer Analysis of Human Behavior,
SpringerNew-York, 2011.

ISBN: 978-0-85729-993-2
WWW Link. 1111
BibRef

Moeslund, T.B., Hilton, A., Krüger, V., Sigal, L., (Eds.)
Visual Analysis of Humans: Looking at People,
SpringerNew-York, 2011. ISBN: 978-0-85729-996-3.
WWW Link. Buy this book: Visual Analysis of Humans: Looking at People 1111
BibRef

Kliper-Gross, O.[Orit], Hassner, T.[Tal], Wolf, L.B.[Lior B.],
The Action Similarity Labeling Challenge,
PAMI(34), No. 3, March 2012, pp. 615-621.
IEEE DOI 1201
Dataset, Action Recognition. Labeled dataset. Same/not-same rather than recognition. BibRef

Distante, C.[Cosimo], Diraco, G.[Giovanni], Leone, A.[Alessandro],
Active Range Imaging Dataset for Indoor Surveillance,
BMVA(2010), No. 3, 2010, pp. 1-14.
PDF File. 1209
Dataset, Action Recognition. BibRef

Blunsden, S.[Scott], Fisher, R.B.[Robert B.],
The BEHAVE video dataset: Ground truthed video for multi-person behavior classification,
BMVA(2010), No. 4, 2010, pp. 1-12.
PDF File. 1209
Dataset, Action Recognition. BibRef

Amato, A.[Alberto], Di Lecce, V.[Vincenzo], Piuri, V.[Vincenzo],
Semantic Analysis and Understanding of Human Behavior in Video Streaming,
Springer2013. ISBN 978-1-4614-5485-4


WWW Link. 1211
BibRef

del Rose, M.S.[Michael S.], and Wagner, C.C.[Christian C.],
Survey on classifying human actions through visual sensors,
AIR(37), No. 4, 2012, pp. 301-311.
Springer DOI Survey, Human Actions. Human level performance is not there, efforts focus on parts of the problem. Survey approaches that rely mainly on understanding the image processing and classification of a limited number of actions. BibRef 1200

Jiang, Y.G.[Yu-Gang], Bhattacharya, S.[Subhabrata], Chang, S.F.[Shih-Fu], Shah, M.[Mubarak],
High-level event recognition in unconstrained videos,
MultInfoRetr(2), No. 2, June 2013, pp. 73-101.
Springer DOI
PDF File. 1306
Survey, Event Recognition. BibRef

Jiang, Y.G.[Yu-Gang],
SUPER: towards real-time event recognition in internet videos,
ICMR12(7).
DOI Link 1301
BibRef

Kleinsmith, A.[Andrea], Bianchi-Berthouze, N.[Nadia],
Affective Body Expression Perception and Recognition: A Survey,
AffCom(4), No. 1, January 2013, pp. 15-33.
IEEE DOI 1304
Survey, Action Recognition. BibRef

Lim, C.H.[Chern Hong], Vats, E.[Ekta], Chan, C.S.[Chee Seng],
Fuzzy human motion analysis: A review,
PR(48), No. 5, 2015, pp. 1773-1796.
Elsevier DOI 1502
Survey, Human Motion. Human motion analysis BibRef

Ziaeefard, M.[Maryam], Bergevin, R.[Robert],
Semantic human activity recognition: A literature review,
PR(48), No. 8, 2015, pp. 2329-2345.
Elsevier DOI 1505
Survey, Activity Recogniton. Human activity recognition BibRef

Abdallah, Z.S.[Zahraa S.], Gaber, M.M.[Mohamed Medhat], Srinivasan, B.[Bala], Krishnaswamy, S.[Shonali],
Activity Recognition with Evolving Data Streams: A Review,
Surveys(51), No. 4, August 2018, pp. Article No 71.
DOI Link 1809
Survey, Activity Recognition. From a variety of sensor data. BibRef


Hall, D.[David], Perona, P.[Pietro],
Fine-grained classification of pedestrians in video: Benchmark and state of the art,
CVPR15(5482-5491)
IEEE DOI 1510
BibRef

Hwang, S.[Soonmin], Park, J.[Jaesik], Kim, N.[Namil], Choi, Y.[Yukyung], Kweon, I.S.[In So],
Multispectral pedestrian detection: Benchmark dataset and baseline,
CVPR15(1037-1045)
IEEE DOI 1510
Dataset, Pedestrian Detection. BibRef

Vondrick, C.[Carl], Pirsiavash, H.[Hamed], Torralba, A.B.[Antonio B.],
Anticipating Visual Representations from Unlabeled Video,
CVPR16(98-106)
IEEE DOI 1612
BibRef
And: A2, A1, A3:
Assessing the Quality of Actions,
ECCV14(VI: 556-571).
Springer DOI 1408
BibRef

Burlick, M.[Matt], Koteoglou, O.[Olga], Karydas, L.[Lazaros], Kamberov, G.[George],
Leveraging Crowdsourced Data for Creating Temporal Segmentation Ground Truths of Subjective Tasks,
GT13(743-750)
IEEE DOI 1309
Ground Truth; Segmentation Likelihood; ad-hoc videos Issues of differences between operators, errors, etc. Annoting video events. BibRef

de Campos, T.[Teofilo], Barnard, M.[Mark], Mikolajczyk, K.[Krystian], Kittler, J.V.[Josef V.], Yan, F.[Fei], Christmas, W.J.[William J.], Windridge, D.[David],
An evaluation of bags-of-words and spatio-temporal shapes for action recognition,
WACV11(344-351).
IEEE DOI 1101
BibRef

Wallraven, C.[Christian], Schultze, M.[Michael], Mohler, B.[Betty], Vatakis, A.[Argiro], Pastra, K.[Katerina],
The POETICON enacted scenario corpus: A tool for human and computational experiments on action understanding,
FG11(484-491).
IEEE DOI 1103
Dataset, Actions. BibRef

Wang, J.[Jin], She, M.[Mary], Nahavandi, S.[Saeid], Kouzani, A.[Abbas],
A Review of Vision-Based Gait Recognition Methods for Human Identification,
DICTA10(320-327).
IEEE DOI 1012
BibRef

Scheunert, U., Cramer, H., Fardi, B., Wanielik, G.,
Multi Sensor Based Tracking of Pedestrians: A Survey of Suitable Movement Models,
IVS04(774-778).
IEEE DOI 0411
Survey, Motion, Human. BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Detection, People Detection, Pedestrians, Locating .


Last update:Nov 12, 2018 at 11:26:54