Stanford 40 Actions,
A dataset for understanding human actions in still images
HTML Version.
Dataset, Action Recognition.
People Playing Musical Instrument (PPMI),
A dataset of human and object interaction activities
HTML Version.
Dataset, Action Recognition.
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.
|
|
Chen, L.,
Nugent, C.D.,
Biswas, J.,
Hoey, J., (Eds.)
Activity Recognition in Pervasive Intelligent Environments,
Springer2011.
 
|
Salah, A.A.[Albert Ali],
Gevers, T.[Theo], (Eds.)
Computer Analysis of Human Behavior,
SpringerNew-York, 2011.
 
|
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
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
 
|
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
Kapoor, S.[Surbhi],
Sharma, A.[Akashdeep],
Verma, A.[Amandeep],
Singh, S.[Sarbjeet],
Aeriform in-action:
A novel dataset for human action recognition in aerial videos,
PR(140), 2023, pp. 109505.
Elsevier DOI
2305
UAV, Dataset, Human detection, Human action recognition, Aerial videos
BibRef
Gan, Z.L.[Zi-Liang],
Jin, L.[Lei],
Cheng, Y.[Yi],
Cheng, Y.[Yu],
Teng, Y.[Yinglei],
Li, Z.[Zun],
Li, Y.W.[Ya-Wen],
Yang, W.H.[Wen-Han],
Zhu, Z.[Zheng],
Xing, J.L.[Jun-Liang],
Zhao, J.[Jian],
SkatingVerse: A large-scale benchmark for comprehensive evaluation on
human action understanding,
IET-CV(18), No. 7, 2024, pp. 888-906.
DOI Link
2411
video signal processing
BibRef
Kapoor, S.[Surbhi],
Sharma, A.[Akashdeep],
Verma, A.[Amandeep],
Diving deep into human action recognition in aerial videos: A survey,
JVCIR(104), 2024, pp. 104298.
Elsevier DOI
2411
Human action recognition, Unmanned aerial vehicle,
Action recognition aerial datasets
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 -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Detection, People Detection, Pedestrians, Locating .