17.1.3.8.1 Human Activities, Groups, Several People

Chapter Contents (Back)
Group Activity. Human Interactions. Activity Recognition.
See also Human Activities, Interactions between People.
See also Social Interactions, Human Activities, Social Grouping.
See also Human Activities, Crowds, Lots of People.

McKenna, S.J.[Stephen J.], Jabri, S.[Sumer], Duric, Z.[Zoran], Rosenfeld, A.[Azriel], Wechsler, H.[Harry],
Tracking Groups of People,
CVIU(80), No. 1, October 2000, pp. 42-56.
DOI Link 0010
BibRef
Earlier: A2, A3, A5, A4, Only:
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information,
ICPR00(Vol IV: 627-630).
IEEE DOI 0009
BibRef
Earlier: A1, A2, A3, A5, Only:
Tracking Interacting People,
AFGR00(348-353).
IEEE DOI 0003
BibRef

Raja, Y., McKenna, S.J., Gong, S.,
Tracking and Segmenting People in Varying Lighting Conditions Using Colour,
AFGR98(228-233).
IEEE DOI BibRef 9800

Oliver, N.M.[Nuria M.], Rosario, B.[Barbara], Pentland, A.P.[Alex P.],
A Bayesian Computer Vision System for Modeling Human Interactions,
PAMI(22), No. 8, August 2000, pp. 831-843.
IEEE DOI 0010
BibRef
Earlier: CVS99(255 ff.).
Springer DOI 0209
BibRef
And: DARPA98(293-297). BibRef
And: Vismod--459, March 1998.
PS File. Stat-based learning to model interactions. CHMM model is most effective. Synthetic model for learning. BibRef

Dong, W., Lepri, B., Pianesi, F., Pentland, A.,
Modeling Functional Roles Dynamics in Small Group Interactions,
MultMed(15), No. 1, January 2013, pp. 83-95.
IEEE DOI 1212
BibRef

Oliver, N.M.[Nuria M.],
Towards Perceptual Intelligence: Statistical Modeling of Human Individual and Interactive Behaviors,
Ph.D.Thesis, MIT, Media Lab, 2000. BibRef 0001

Sanchez-Cortes, D., Aran, O., Mast, M.S., Gatica-Perez, D.[Daniel],
A Nonverbal Behavior Approach to Identify Emergent Leaders in Small Groups,
MultMed(14), No. 3, 2012, pp. 816-832.
IEEE DOI 1202
BibRef

Chittaranjan, G.[Gokul], Aran, O.[Oya], Gatica-Perez, D.[Daniel],
Exploiting observers' judgements for nonverbal group interaction analysis,
FG11(734-739).
IEEE DOI 1103
BibRef

Hung, H.[Hayley], Huang, Y.[Yan], Yeo, C.H.[Chuo-Hao], Gatica-Perez, D.[Daniel],
Associating audio-visual activity cues in a dominance estimation framework,
CVPR4HB08(1-6).
IEEE DOI 0806
BibRef

Gatica-Perez, D.[Daniel],
Automatic nonverbal analysis of social interaction in small groups: A review,
IVC(27), No. 12, November 2009, pp. 1775-1787,.
Elsevier DOI 0910
Social interaction analysis; Small group conversations; Nonverbal behavior
See also Automatic Analysis of Multimodal Group Actions in Meetings. BibRef

Hung, H.[Hayley], Gatica-Perez, D.[Daniel],
Estimating Cohesion in Small Groups Using Audio-Visual Nonverbal Behavior,
MultMed(12), No. 6, 2010, pp. 563-575.
IEEE DOI 1003
BibRef
Earlier:
Identifying dominant people in meetings from audio-visual sensors,
FG08(1-6).
IEEE DOI 0809
A-V group meeting data. BibRef

Gatica-Perez, D., Lathoud, G., McCowan, L., Odobez, J.M., Moore, D.,
Audio-visual speaker tracking with importance particle filters,
ICIP03(III: 25-28).
IEEE DOI 0312

See also Automatic Analysis of Multimodal Group Actions in Meetings. BibRef

Odobez, J.M.[Jean-Marc], Gatica-Perez, D.[Daniel], Ba, S.O.[Sileye O.],
Embedding Motion in Model-Based Stochastic Tracking,
IP(15), No. 11, November 2006, pp. 3514-3530.
IEEE DOI 0610
BibRef
Earlier: A1, A2 only: ICPR04(II: 815-818).
IEEE DOI 0409
BibRef
And: A1, A3, A2:
An implicit motion likelihood for tracking with particle filters,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Smith, K.[Kevin], Carleton, A.[Alan], Lepetit, V.[Vincent],
General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Smith, K.[Kevin], Gatica-Perez, D.[Daniel], Odobez, J.M.[Jean-Marc], Ba, S.O.[Sileye O.],
Evaluating Multi-Object Tracking,
EEMCV05(III: 36-36).
IEEE DOI 0507
BibRef
And: A1, A2, A3, Only:
Using Particles to Track Varying Numbers of Interacting People,
CVPR05(I: 962-969).
IEEE DOI 0507
BibRef

Jayagopi, D.B., Gatica-Perez, D.,
Mining Group Nonverbal Conversational Patterns Using Probabilistic Topic Models,
MultMed(12), No. 8, 2010, pp. 790-802.
IEEE DOI 1011
Group behavior, for meetings. BibRef

Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Beyond Tracking: Modelling Activity and Understanding Behaviour,
IJCV(67), No. 1, April 2006, pp. 21-51.
Springer DOI 0604
BibRef
Earlier:
Relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling,
AVSBS05(28-33).
IEEE DOI 0602
BibRef
And:
Video Behaviour Profiling and Abnormality Detection without Manual Labelling,
ICCV05(II: 1238-1245).
IEEE DOI 0510
BibRef
Earlier:
Outdoor Activity Recognition using Multi-Linked Temporal Processes,
BMVC03(xx-yy).
HTML Version. 0409
BibRef
Earlier: A2, A1:
Recognition of group activities using dynamic probabilistic networks,
ICCV03(742-749).
IEEE DOI 0311

See also Optimising dynamic graphical models for video content analysis. BibRef

Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Activity based surveillance video content modelling,
PR(41), No. 7, July 2008, pp. 2309-2326.
Elsevier DOI 0804
BibRef
Earlier:
Discovering Bayesian causality among visual events in a complex outdoor scene,
AVSBS03(177-182).
IEEE DOI 0310
Video content analysis; Activity recognition; Surveillance video segmentation; Dynamic Bayesian networks; Dynamic scene modelling; Unusual activity detection BibRef

Sherrah, J.[Jamie], Gong, S.G.[Shao-Gang], Howell, A.J.[A. Jonathan], Buxton, H.[Hilary],
Interpretation of Group Behaviour in Visually Mediated Interaction,
ICPR00(Vol I: 266-269).
IEEE DOI 0009
BibRef

Sherrah, J.[Jamie], Gong, S.G.[Shao-Gang],
VIGOUR: A System for Tracking and Recognition of Multiple People and Their Activities,
ICPR00(Vol I: 179-182).
IEEE DOI 0009
BibRef

Wang, Y.D.[Ya-Dong], Wu, J.K.[Jian-Kang], Kassim, A.A.[Ashraf A.], Huang, W.M.[Wei-Min],
Data-Driven Probability Hypothesis Density Filter for Visual Tracking,
CirSysVideo(18), No. 8, August 2008, pp. 1085-1095.
IEEE DOI 0809
BibRef
Earlier:
Tracking a Variable Number of Human Groups in Video Using Probability Hypothesis Density,
ICPR06(III: 1127-1130).
IEEE DOI 0609
BibRef

Ni, B.B.[Bing-Bing], Yan, S.C.[Shui-Cheng], Kassim, A.A.[Ashraf A.],
Recognizing human group activities with localized causalities,
CVPR09(1470-1477).
IEEE DOI 0906
BibRef

Ryoo, M.S., Aggarwal, J.K.,
Semantic Representation and Recognition of Continued and Recursive Human Activities,
IJCV(82), No. 1, April 2009, pp. xx-yy.
Springer DOI 0902
BibRef
Earlier:
Hierarchical Recognition of Human Activities Interacting with Objects,
SLAM07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Semantic Understanding of Continued and Recursive Human Activities,
ICPR06(I: 379-378).
IEEE DOI 0609
BibRef
And:
Recognition of Composite Human Activities through Context-Free Grammar Based Representation,
CVPR06(II: 1709-1718).
IEEE DOI 0606
BibRef

Ryoo, M.S., Grauman, K.[Kristen], Aggarwal, J.K.,
A task-driven intelligent workspace system to provide guidance feedback,
CVIU(114), No. 5, May 2010, pp. 520-534.
Elsevier DOI 1004
Intelligent environments; Intelligent workspaces; Feedback generation; Guidance feedback messages; Activity recognition; Event analysis BibRef

Ryoo, M.S., Aggarwal, J.K.,
Stochastic Representation and Recognition of High-Level Group Activities,
IJCV(93), No. 2, June 2011, pp. 183-200.
WWW Link. 1104
BibRef
Earlier:
Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities,
ICCV09(1593-1600).
IEEE DOI 0909
BibRef
Earlier:
Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities,
SIG09(11-11).
IEEE DOI 0906
BibRef
Earlier:
Recognition of High-level Group Activities Based on Activities of Individual Members,
Motion08(1-8).
IEEE DOI 0801
BibRef
And:
Human activities: Handling uncertainties using fuzzy time intervals,
ICPR08(1-5).
IEEE DOI 0812
BibRef
And:
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Lin, W., Sun, M.T., Poovendran, R., Zhang, Z.,
Group Event Detection With a Varying Number of Group Members for Video Surveillance,
CirSysVideo(20), No. 8, August 2010, pp. 1057-1067.
IEEE DOI 1008

See also Activity Recognition Using a Combination of Category Components and Local Models for Video Surveillance. BibRef

Lan, T.[Tian], Wang, Y.[Yang], Yang, W.L.[Wei-Long], Robinovitch, S.N.[Stephen N.], Mori, G.[Greg],
Discriminative Latent Models for Recognizing Contextual Group Activities,
PAMI(34), No. 8, August 2012, pp. 1549-1562.
IEEE DOI 1206
Focus on the group. Group-person interaction and person-person.
See also Human Action Recognition by Semilatent Topic Models. BibRef

Li, R.N.[Ruo-Nan], Chellappa, R.[Rama], Zhou, S.H.K.[Shao-Hua Kevin],
Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their Riemannian Statistics,
IJCV(101), No. 2, January 2013, pp. 305-328.
WWW Link. 1302
multi-subject activities. BibRef

Zha, Z.J., Zhang, H., Wang, M., Luan, H., Chua, T.S.,
Detecting Group Activities With Multi-Camera Context,
CirSysVideo(23), No. 5, May 2013, pp. 856-869.
IEEE DOI 1305
BibRef

Lin, W.Y.[Wei-Yao], Chu, H.[Hang], Wu, J.X.[Jian-Xin], Sheng, B.[Bin], Chen, Z.Z.[Zhen-Zhong],
A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos,
CirSysVideo(23), No. 11, 2013, pp. 1980-1992.
IEEE DOI 1312
feature extraction BibRef

Wu, J.X.[Jian-Xin], Zhang, Y.[Yu], Lin, W.Y.[Wei-Yao],
Good Practices for Learning to Recognize Actions Using FV and VLAD,
Cyber(46), No. 12, December 2016, pp. 2978-2990.
IEEE DOI 1612
BibRef
Earlier:
Towards Good Practices for Action Video Encoding,
CVPR14(2577-2584)
IEEE DOI 1409
Accuracy BibRef

Li, R.N.[Ruo-Nan], Turaga, P.K.[Pavan K.], Srivastava, A.[Anuj], Chellappa, R.[Rama],
Differential geometric representations and algorithms for some pattern recognition and computer vision problems,
PRL(43), No. 1, 2014, pp. 3-16.
Elsevier DOI 1404
Manifold BibRef

Li, R.N.[Ruo-Nan], Chellappa, R.[Rama], Zhou, S.H.K.[Shao-Hua Kevin],
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition,
CVPR09(2450-2457).
IEEE DOI 0906
BibRef

Wang, C., Cao, L., Chi, C.,
Formalization and Verification of Group Behavior Interactions,
SMCS(45), No. 8, August 2015, pp. 1109-1124.
IEEE DOI 1506
Analytical models BibRef

Chen, C.H.[Chang-Hong], Dou, H.[Hehe], Gan, Z.L.[Zong-Liang],
Collective Activity Recognition by Attribute-Based Spatio-Temporal Descriptor,
IEICE(E98-D), No. 10, October 2015, pp. 1875-1878.
WWW Link. 1511
BibRef

Amer, M.R.[Mohamed R.], Todorovic, S.[Sinisa],
Sum Product Networks for Activity Recognition,
PAMI(38), No. 4, April 2016, pp. 800-813.
IEEE DOI 1603
BibRef
Earlier:
Sum-product networks for modeling activities with stochastic structure,
CVPR12(1314-1321).
IEEE DOI 1208
BibRef
Earlier:
A chains model for localizing participants of group activities in videos,
ICCV11(786-793).
IEEE DOI 1201
Computational modeling BibRef

Amer, M.R.[Mohamed R.], Todorovic, S.[Sinisa], Fern, A.[Alan], Zhu, S.C.[Song-Chun],
Monte Carlo Tree Search for Scheduling Activity Recognition,
ICCV13(1353-1360)
IEEE DOI 1403
Activity Recogition BibRef

Amer, M.R.[Mohamed R.], Xie, D.[Dan], Zhao, M.T.[Ming-Tian], Todorovic, S.[Sinisa], Zhu, S.C.[Song-Chun],
Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition,
ECCV12(IV: 187-200).
Springer DOI 1210
BibRef

Brendel, W.[William], Amer, M.R.[Mohamed R.], Todorovic, S.[Sinisa],
Multiobject tracking as maximum weight independent set,
CVPR11(1273-1280).
IEEE DOI 1106
BibRef
Earlier: A1, A3, Only:
Video object segmentation by tracking regions,
ICCV09(833-840).
IEEE DOI 0909
BibRef

Iqbal, T., Riek, L.D.,
A Method for Automatic Detection of Psychomotor Entrainment,
AffCom(7), No. 1, January 2016, pp. 3-16.
IEEE DOI 1603
Atmospheric measurements BibRef

Sun, L.[Lei], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Localizing activity groups in videos,
CVIU(144), No. 1, 2016, pp. 144-154.
Elsevier DOI 1604
Activity recognition BibRef

Zhao, F.[Fang], Huang, Y.Z.[Yong-Zhen], Wang, L.[Liang], Xiang, T.[Tao], Tan, T.N.[Tie-Niu],
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding,
IJCV(119), No. 3, September 2016, pp. 329-345.
Springer DOI 1608
BibRef

Gebru, I.D., Alameda-Pineda, X., Forbes, F., Horaud, R.[Radu],
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis,
PAMI(38), No. 12, December 2016, pp. 2402-2415.
IEEE DOI 1609
Algorithm design and analysis BibRef

Gebru, I.D., Ba, S.O., Li, X., Horaud, R.,
Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion,
PAMI(40), No. 5, May 2018, pp. 1086-1099.
IEEE DOI 1804
Cameras, Face, Feature extraction, Mel frequency cepstral coefficient, Microphones, Speech, sound source localization BibRef

Gebru, I.D., Ba, S.O., Evangelidis, G.[Georgios], Horaud, R.[Radu],
Tracking the Active Speaker Based on a Joint Audio-Visual Observation Model,
p 3DVS15(702-708)
IEEE DOI 1602
Acoustics BibRef

Lathuilière, S.[Stéphane], Evangelidis, G.[Georgios], Horaud, R.[Radu],
Recognition of Group Activities in Videos Based on Single-and Two-Person Descriptors,
WACV17(217-225)
IEEE DOI 1609
Computational modeling, Context, Feature extraction, Optimization, Support vector machines, Training, Videos BibRef

Kiliç, V.[Volkan], Barnard, M.[Mark], Wang, W.W.[Wen-Wu], Hilton, A.[Adrian], Kittler, J.V.[Josef V.],
Mean-Shift and Sparse Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking,
MultMed(18), No. 12, December 2016, pp. 2417-2431.
IEEE DOI 1612
Bayes methods BibRef

Gao, C., Liu, J.,
Network-Based Modeling for Characterizing Human Collective Behaviors During Extreme Events,
SMCS(47), No. 1, January 2017, pp. 171-183.
IEEE DOI 1612
Feedback loop BibRef

García-Martín, Á.[Álvaro], Sánchez-Matilla, R.[Ricardo], Martínez, J.M.[José M.],
Hierarchical detection of persons in groups,
SIViP(11), No. 7, October 2017, pp. 1181-1188.
Springer DOI 1708
BibRef

Tang, M.F.[Meng-Fan], Nie, F.P.[Fei-Ping], Pongpaichet, S.[Siripen], Jain, R.C.[Ramesh C.],
Semi-supervised learning on large-scale geotagged photos for situation recognition,
JVCIR(48), No. 1, 2017, pp. 310-316.
Elsevier DOI 1708
Evolving situations BibRef

Kim, P.S.[Pil-Soo], Lee, D.G.[Dong-Gyu], Lee, S.W.[Seong-Whan],
Discriminative context learning with gated recurrent unit for group activity recognition,
PR(76), No. 1, 2018, pp. 149-161.
Elsevier DOI 1801
Group activity recognition BibRef

Kim, Y.J.[Young-Ji], Cho, N.G.[Nam-Gyu], Lee, S.W.[Seong-Whan],
Group Activity Recognition with Group Interaction Zone,
ICPR14(3517-3521)
IEEE DOI 1412
Clustering algorithms BibRef

Xie, D.[Dan], Shu, T.[Tianmin], Todorovic, S.[Sinisa], Zhu, S.C.[Song-Chun],
Learning and Inferring 'Dark Matter: and Predicting Human Intents and Trajectories in Videos,
PAMI(40), No. 7, July 2018, pp. 1639-1652.
IEEE DOI 1806
Cognition, Force, Surveillance, Training, Trajectory, Videos, Scene understanding, functional objects, intents modeling, video analysis BibRef

Shu, T.[Tianmin], Xie, D.[Dan], Rothrock, B.[Brandon], Todorovic, S.[Sinisa], Zhu, S.C.[Song-Chun],
Joint inference of groups, events and human roles in aerial videos,
CVPR15(4576-4584)
IEEE DOI 1510
BibRef

Bensebaa, A.[Amina], Larabi, S.[Slimane],
Direction estimation of moving pedestrian groups for intelligent vehicles,
VC(34), No. 6-8, June 2018, pp. 1109-1118.
WWW Link. 1806
BibRef

Mou, W.X.[Wen-Xuan], Tzelepis, C.[Christos], Mezaris, V.[Vasileios], Gunes, H.[Hatice], Patras, I.[Ioannis],
A deep generic to specific recognition model for group membership analysis using non-verbal cues,
IVC(81), 2019, pp. 42-50.
Elsevier DOI 1902
BibRef
Earlier:
Generic to Specific Recognition Models for Membership Analysis in Group Videos,
FG17(512-517)
IEEE DOI 1707
Non-verbal behavior analysis, Group membership, Automatic group analysis, Deep learning. Data models, Feature extraction, Motion pictures, Optimization, Support vector machines, Training, Videos BibRef

Lu, L.H.[Li-Hua], Di, H.J.[Hui-Jun], Lu, Y.[Yao], Zhang, L.[Lin], Wang, S.Z.[Shun-Zhou],
Spatio-temporal attention mechanisms based model for collective activity recognition,
SP:IC(74), 2019, pp. 162-174.
Elsevier DOI 1904
Multi-person activity recognition, Spatio-temporal model, Attention mechanisms, Multi-modal data, Gated Recurrent Units (GRUs) network BibRef

Lu, L.H.[Li-Hua], Lu, Y.[Yao], Yu, R.Z.[Rui-Zhe], Di, H.J.[Hui-Jun], Zhang, L.[Lin], Wang, S.Z.[Shun-Zhou],
GAIM: Graph Attention Interaction Model for Collective Activity Recognition,
MultMed(22), No. 2, February 2020, pp. 524-539.
IEEE DOI 2001
Activity recognition, Recurrent neural networks, Task analysis, Graphical models, Convolutional neural networks, Collective Activity Recognition BibRef

Tang, Y., Lu, J., Wang, Z., Yang, M., Zhou, J.,
Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition,
IP(28), No. 10, October 2019, pp. 4997-5012.
IEEE DOI 1909
Activity recognition, Semantics, Task analysis, Feature extraction, Knowledge engineering, Computational modeling, Teacher-Student networks BibRef

Zhang, P., Tang, Y., Hu, J., Zheng, W.,
Fast Collective Activity Recognition Under Weak Supervision,
IP(29), No. 1, 2020, pp. 29-43.
IEEE DOI 1910
data mining, image recognition, inference mechanisms, learning (artificial intelligence), joint learning BibRef

Qi, M.S.[Meng-Shi], Wang, Y.H.[Yun-Hong], Qin, J.[Jie], Li, A.[Annan], Luo, J.B.[Jie-Bo], Van Gool, L.J.[Luc J.],
stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition,
CirSysVideo(30), No. 2, February 2020, pp. 549-565.
IEEE DOI 2002
BibRef
Earlier: A1, A3, A4, A2, A5, A6:
stagNet: An Attentive Semantic RNN for Group Activity Recognition,
ECCV18(X: 104-120).
Springer DOI 1810
Semantics, Hidden Markov models, Activity recognition, Recurrent neural networks, Task analysis, Adaptation models, Scene Understanding BibRef

Kong, Y.Q.[Yong-Qiang], Wang, Y.H.[Yun-Hong], Li, A.[Annan],
Spatiotemporal Saliency Representation Learning for Video Action Recognition,
MultMed(24), 2022, pp. 1515-1528.
IEEE DOI 2204
Object detection, Spatiotemporal phenomena, Task analysis, Solid modeling, spatiotemporal CNNs BibRef

Wang, L., Zhang, Y., Zhao, X., Liu, H., Zhang, K.,
Irregular Travel Groups Detection Based on Cascade Clustering in Urban Subway,
ITS(21), No. 5, May 2020, pp. 2216-2225.
IEEE DOI 2005
Public transportation, Clustering algorithms, Smart cards, Feature extraction, Frequency measurement, Correlation, passenger similarity BibRef

Sendo, K.[Kohei], Ukita, N.[Norimichi],
Heatmapping of Group People Involved in the Group Activity,
IEICE(E103-D), No. 6, June 2020, pp. 1209-1216.
WWW Link. 2006
BibRef

Chen, Y.Y.[Yan-Yu], Zheng, W.Z.[Wen-Zhe], Li, W.B.[Wen-Bo], Huang, Y.M.[Yi-Miao],
Large group activity security risk assessment and risk early warning based on random forest algorithm,
PRL(144), 2021, pp. 1-5.
Elsevier DOI 2103
Random forest algorithm, Large-scale group activities, Security risk assessment, Risk warning BibRef

Vo, M.[Minh], Yumer, E.[Ersin], Sunkavalli, K.[Kalyan], Hadap, S.I.[Sun-Il], Sheikh, Y.[Yaser], Narasimhan, S.G.[Srinivasa G.],
Self-Supervised Multi-View Person Association and its Applications,
PAMI(43), No. 8, August 2021, pp. 2794-2808.
IEEE DOI 2107
Multiple cameras, multiple people. Cameras, Skeleton, Target tracking, Streaming media, Reliability, Descriptor adaptation, multi-angle video BibRef

Mao, W.[Wei], Liu, M.M.[Miao-Miao], Salzmann, M.[Mathieu], Li, H.D.[Hong-Dong],
Multi-level Motion Attention for Human Motion Prediction,
IJCV(129), No. 9, September 2021, pp. 2513-2535.
Springer DOI 2108
BibRef
Earlier: A1, A2, A3, Only:
History Repeats Itself: Human Motion Prediction via Motion Attention,
ECCV20(XIV:474-489).
Springer DOI 2011
BibRef

Pramono, R.R.A.[Rizard Renanda Adhi], Fang, W.H.[Wen-Hsien], Chen, Y.T.[Yie-Tarng],
Relational Reasoning for Group Activity Recognition via Self-Attention Augmented Conditional Random Field,
IP(30), 2021, pp. 8184-8199.
IEEE DOI 2110
BibRef
Earlier: A1, A3, A2:
Empowering Relational Network by Self-attention Augmented Conditional Random Fields for Group Activity Recognition,
ECCV20(I:71-90).
Springer DOI 2011
Feature extraction, Activity recognition, Videos, Semantics, Transformers, Context modeling, bidirectional universal transformer encoder BibRef

Perez, M.[Mauricio], Liu, J.[Jun], Kot, A.C.[Alex C.],
Skeleton-based relational reasoning for group activity analysis,
PR(122), 2022, pp. 108360.
Elsevier DOI 2112
Group activity recognition, Skeleton information, Relational network, Attention mechanisms BibRef

Böck, R.[Ronald],
Affects in Groups: A review on automated affect processing and estimation in groups,
SPMag(38), No. 6, November 2021, pp. 74-83.
IEEE DOI 2112
Affective computing, Social sciences, Estimation, Tutorials, SIgnal analysis, Benchmark testing BibRef

Tang, J.H.[Jin-Hui], Shu, X.B.[Xiang-Bo], Yan, R.[Rui], Zhang, L.Y.[Li-Yan],
Coherence Constrained Graph LSTM for Group Activity Recognition,
PAMI(44), No. 2, February 2022, pp. 636-647.
IEEE DOI 2201
Coherence, Activity recognition, Logic gates, Motion measurement, Time measurement, Recurrent neural networks, Games, deep learning BibRef

Du, B.[Bo], Zhang, C.[Cheng], Shen, J.[Jun], Zheng, Z.[Zuduo],
A Dynamic Sensitivity Model for Unidirectional Pedestrian Flow With Overtaking Behaviour and Its Application on Social Distancing's Impact During COVID-19,
ITS(23), No. 8, August 2022, pp. 10404-10417.
IEEE DOI 2208
Legged locomotion, Sensitivity, COVID-19, Force, Social factors, Human factors, Vehicle dynamics, Pedestrian behaviour, COVID-19 BibRef

Wang, C.[Chao], Wang, X.[XiaoChen], Wang, Z.Y.[Zhong-Yuan], Zhu, W.[WenQian], Hu, R.[Ruimin],
COVID-19 contact tracking by group activity trajectory recovery over camera networks,
PR(132), 2022, pp. 108908.
Elsevier DOI 2209
Contact tracking, COVID-19, Group activity, Trajectory recovery BibRef

Asif, H.[Hafiz], Papakonstantinou, P.A.[Periklis A.], Shiau, S.[Stephanie], Singh, V.[Vivek], Vaidya, J.[Jaideep],
Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing,
IEEE_Int_Sys(37), No. 4, July 2022, pp. 88-96.
IEEE DOI 2209
COVID-19, Privacy, Pandemics, Crowdsensing, Intelligent systems, Surveillance, Covid-19, pandemic, disease surveillance, crowdsensing, differential privacy BibRef

Ghosh, S.[Shreya], Dhall, A.[Abhinav], Sebe, N.[Nicu], Gedeon, T.[Tom],
Automatic Prediction of Group Cohesiveness in Images,
AffCom(13), No. 3, July 2022, pp. 1677-1690.
IEEE DOI 2209
Databases, Feature extraction, Task analysis, Bonding, Faces, Affective computing, Visualization, Group-level emotion, cohesion estimation BibRef

Zhang, J.X.[Jia-Xu], Jia, Y.F.[Yi-Fan], Xie, W.[Wei], Tu, Z.G.[Zhi-Gang],
Zoom Transformer for Skeleton-Based Group Activity Recognition,
CirSysVideo(32), No. 12, December 2022, pp. 8646-8659.
IEEE DOI 2212
Transformers, Feature extraction, Activity recognition, Data mining, Visualization, Task analysis, Activity recognition, attention mechanism BibRef

Yan, R.[Rui], Xie, L.X.[Ling-Xi], Tang, J.H.[Jin-Hui], Shu, X.B.[Xiang-Bo], Tian, Q.[Qi],
HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition,
PAMI(45), No. 6, June 2023, pp. 6955-6968.
IEEE DOI 2305
Spatiotemporal phenomena, Activity recognition, Body regions, Feature extraction, Visualization, Group activity recognition, video analysis BibRef

Yan, Y.C.[Yi-Chao], Qin, J.[Jie], Ni, B.B.[Bing-Bing], Chen, J.X.[Jia-Xin], Liu, L.[Li], Zhu, F.[Fan], Zheng, W.S.[Wei-Shi], Yang, X.K.[Xiao-Kang], Shao, L.[Ling],
Learning Multi-Attention Context Graph for Group-Based Re-Identification,
PAMI(45), No. 6, June 2023, pp. 7001-7018.
IEEE DOI 2305
Task analysis, Deep learning, Measurement, Visualization, Context modeling, Layout, Group re-identification, graph neural networks BibRef

Wu, L.F.[Li-Fang], Lang, X.L.[Xiang-Long], Xiang, Y.[Ye], Chen, C.W.[Chang-Wen], Li, Z.[Zun], Wang, Z.M.[Zhu-Ming],
Active Spatial Positions Based Hierarchical Relation Inference for Group Activity Recognition,
CirSysVideo(33), No. 6, June 2023, pp. 2839-2851.
IEEE DOI 2306
Activity recognition, Feature extraction, Visualization, Testing, Training, Task analysis, Labeling, Group activity recognition, hierarchical relation inference BibRef

Zhu, X.L.[Xiao-Lin], Zhou, Y.[Yan], Wang, D.[Dongli], Ouyang, W.L.[Wan-Li], Su, R.[Rui],
MLST-Former: Multi-Level Spatial-Temporal Transformer for Group Activity Recognition,
CirSysVideo(33), No. 7, July 2023, pp. 3383-3397.
IEEE DOI 2307
Activity recognition, Transformers, Task analysis, Trajectory, Feature extraction, Dynamics, Context modeling, spatial-temporal transformer BibRef

Du, Z.X.[Ze-Xing], Wang, X.[Xue], Wang, Q.[Qing],
Perceiving local relative motion and global correlations for weakly supervised group activity recognition,
IVC(137), 2023, pp. 104789.
Elsevier DOI 2309
Group activity recognition, Local relative motion information, Weakly supervision, Global correlations BibRef

Du, Z.X.[Ze-Xing], Wang, X.[Xue], Wang, Q.[Qing],
Self-Supervised Global Spatio-Temporal Interaction Pre-Training for Group Activity Recognition,
CirSysVideo(33), No. 9, September 2023, pp. 5076-5088.
IEEE DOI 2310
BibRef

Airale, L.[Louis], Vaufreydaz, D.[Dominique], Alameda-Pineda, X.[Xavier],
SocialInteractionGAN: Multi-Person Interaction Sequence Generation,
AffCom(14), No. 3, July 2023, pp. 2182-2192.
IEEE DOI 2310
BibRef

Pei, D.X.[Duo-Xuan], Huang, D.[Di], Kong, L.T.[Long-Teng], Wang, Y.H.[Yun-Hong],
Key Role Guided Transformer for Group Activity Recognition,
CirSysVideo(33), No. 12, December 2023, pp. 7803-7818.
IEEE DOI 2312
BibRef

Kong, L.T.[Long-Teng], Zhou, W.T.[Wan-Ting], Pei, D.X.[Duo-Xuan], He, Z.F.[Zhao-Feng], Huang, D.[Di],
Group Activity Representation Learning With Long-Short States Predictive Transformer,
CirSysVideo(33), No. 12, December 2023, pp. 7267-7281.
IEEE DOI 2312
BibRef

Zhou, W.T.[Wan-Ting], Kong, L.[Longteng], Han, Y.S.[Yu-Shan], Qin, J.[Jie], Sun, Z.A.[Zhen-An],
Contextualized Relation Predictive Model for Self-Supervised Group Activity Representation Learning,
MultMed(26), 2024, pp. 353-366.
IEEE DOI 2402
Videos, Transformers, Predictive models, Predictive coding, Context modeling, Task analysis, Feature extraction, predictive coding BibRef

Wu, W.H.[Wen-Han], Yi, W.F.[Wen-Feng], Li, J.H.[Jing-Hai], Chen, M.[Maoyin], Zheng, X.P.[Xiao-Ping],
Automatic Identification of Human Subgroups in Time-Dependent Pedestrian Flow Networks,
MultMed(26), 2024, pp. 166-177.
IEEE DOI 2401
BibRef

Xie, Z.[Zhao], Jiao, C.[Chang], Wu, K.W.[Ke-Wei], Guo, D.[Dan], Hong, R.C.[Ri-Chang],
Active Factor Graph Network for Group Activity Recognition,
IP(33), 2024, pp. 1574-1587.
IEEE DOI 2403
Activity recognition, Feature extraction, Adaptation models, Transformers, Task analysis, Legged locomotion, Visualization, consistency-aware reasoning BibRef


Huang, B.Z.[Bu-Zhen], Ju, J.Y.[Jing-Yi], Li, Z.H.[Zhi-Hao], Wang, Y.G.[Yan-Gang],
Reconstructing Groups of People with Hypergraph Relational Reasoning,
ICCV23(14827-14837)
IEEE DOI Code:
WWW Link. 2401
BibRef

Chappa, N.V.S.R.[Naga V. S. Raviteja], Nguyen, P.[Pha], Nelson, A.H.[Alexander H.], Seo, H.S.[Han-Seok], Li, X.[Xin], Dobbs, P.D.[Page Daniel], Luu, K.[Khoa],
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition,
CVSports23(5158-5168)
IEEE DOI 2309
BibRef

Xie, Z.[Zhao], Gao, T.[Tian], Wu, K.W.[Ke-Wei], Chang, J.[Jiao],
An Actor-centric Causality Graph for Asynchronous Temporal Inference in Group Activity,
CVPR23(6652-6661)
IEEE DOI 2309
BibRef

Zhang, S.Y.[Shi-Yi], Dai, W.X.[Wen-Xun], Wang, S.[Sujia], Shen, X.W.[Xiang-Wei], Lu, J.W.[Ji-Wen], Zhou, J.[Jie], Tang, Y.S.[Yan-Song],
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment,
CVPR23(2405-2414)
IEEE DOI 2309
BibRef

Atici, E.[Efehan], Gökberk, B.[Berk], Akarun, L.[Lale],
Detection of Free-Standing Conversational Groups with Graph Convolutional Networks,
ICPR22(1041-1047)
IEEE DOI 2212
Human computer interaction, Social groups, Filtering, Detectors, Benchmark testing, Behavioral sciences BibRef

Wang, Y.[Yuan], Zhang, Q.[Quan], Lai, J.H.[Jian-Huang], Xie, X.H.[Xiao-Hua], Dong, J.H.[Jun-Hao],
Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification,
ICPR22(907-913)
IEEE DOI 2212
Layout, Bidirectional control, Feature extraction, Cameras BibRef

Zhou, H.[Honglu], Kadav, A.[Asim], Shamsian, A.[Aviv], Geng, S.J.[Shi-Jie], Lai, F.[Farley], Zhao, L.[Long], Liu, T.[Ting], Kapadia, M.[Mubbasir], Graf, H.P.[Hans Peter],
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality,
ECCV22(XXXV:249-266).
Springer DOI 2211
BibRef

Li, J.C.[Jia-Cheng], Han, R.[Ruize], Yan, H.M.[Hao-Min], Qian, Z.K.[Ze-Kun], Feng, W.[Wei], Wang, S.[Song],
Self-supervised Social Relation Representation for Human Group Detection,
ECCV22(XXXV:142-159).
Springer DOI 2211
BibRef

Zhou, Z.K.[Zi-Kang], Ye, L.[Luyao], Wang, J.P.[Jian-Ping], Wu, K.[Kui], Lu, K.J.[Ke-Jie],
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction,
CVPR22(8813-8823)
IEEE DOI 2210
Tracking, Computational modeling, Predictive models, Benchmark testing, Transformers, Navigation and autonomous driving BibRef

Ehsanpour, M.[Mahsa], Saleh, F.[Fatemeh], Savarese, S.[Silvio], Reid, I.D.[Ian D.], Rezatofighi, H.[Hamid],
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection,
CVPR22(20951-20960)
IEEE DOI 2210
Visualization, Social groups, Annotations, Pipelines, Social robots, Robot sensing systems, Pattern recognition, Video analysis and understanding BibRef

Kim, D.[Dongkeun], Lee, J.[Jinsung], Cho, M.[Minsu], Kwak, S.[Suha],
Detector-Free Weakly Supervised Group Activity Recognition,
CVPR22(20051-20061)
IEEE DOI 2210
Image analysis, Computational modeling, Supervised learning, Detectors, Activity recognition, Benchmark testing, Video analysis and understanding BibRef

Zhang, Q.[Quan], Dang, K.[Kaiheng], Lai, J.H.[Jian-Huang], Feng, Z.X.[Zhan-Xiang], Xie, X.H.[Xiao-Hua],
Modeling 3D Layout For Group Re-Identification,
CVPR22(7502-7510)
IEEE DOI 2210
Solid modeling, Annotations, Layout, Resists, Feature extraction, Recognition: detection, categorization, retrieval, Representation learning BibRef

Hao, Y.B.[Yan-Bin], Zhang, H.[Hao], Ngo, C.W.[Chong-Wah], He, X.N.[Xiang-Nan],
Group Contextualization for Video Recognition,
CVPR22(918-928)
IEEE DOI 2210
Solid modeling, Costs, Codes, Computational modeling, Refining, Recognition: detection, categorization, retrieval, Efficient learning and inferences BibRef

Han, M.F.[Ming-Fei], Zhang, D.J.H.[David Jun-Hao], Wang, Y.[Yali], Yan, R.[Rui], Yao, L.[Lina], Chang, X.J.[Xiao-Jun], Qiao, Y.[Yu],
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition,
CVPR22(2980-2989)
IEEE DOI 2210
Training data, Data visualization, Activity recognition, Benchmark testing, Transformers, Action and event recognition BibRef

Li, S.C.[Shuai-Cheng], Cao, Q.G.[Qiang-Gang], Liu, L.B.[Ling-Bo], Yang, K.L.[Kun-Lin], Liu, S.[Shinan], Hou, J.[Jun], Yi, S.[Shuai],
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer,
ICCV21(13648-13657)
IEEE DOI 2203
Bridges, Codes, Semantics, Activity recognition, Benchmark testing, Video analysis and understanding BibRef

Yuan, H.J.[Hang-Jie], Ni, D.[Dong], Wang, M.[Mang],
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition,
ICCV21(7456-7465)
IEEE DOI 2203
Costing, Computational modeling, Activity recognition, Spatiotemporal phenomena, Video analysis and understanding, Scene analysis and understanding BibRef

Nakatani, C.[Chihiro], Sendo, K.[Kohei], Ukita, N.[Norimichi],
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People Grouping,
MVA21(1-5)
DOI Link 2109
Activity recognition, Task analysis BibRef

Pei, D.X.[Duo-Xuan], Li, A.[Annan], Wang, Y.H.[Yun-Hong],
Group Activity Recognition by Exploiting Position Distribution and Appearance Relation,
MMMod21(I:123-135).
Springer DOI 2106
BibRef

Lu, L.H.[Li-Hua], Lu, Y.[Yao], Wang, S.Z.[Shun-Zhou],
Learning Multi-level Interaction Relations and Feature Representations for Group Activity Recognition,
MMMod21(I:617-628).
Springer DOI 2106
BibRef

Mei, L.[Ling], Lai, J.H.[Jian-Huang], Feng, Z.X.[Zhan-Xiang], Xie, X.H.[Xiao-Hua],
Open-World Group Retrieval with Ambiguity Removal: A Benchmark,
ICPR21(584-591)
IEEE DOI 2105
Visualization, Benchmark testing, Cameras, Feature extraction, Robustness, Pattern recognition, Probes BibRef

Dasgupta, A.[Avijit], Jawahar, C.V., Alahari, K.[Karteek],
Context Aware Group Activity Recognition,
ICPR21(10098-10105)
IEEE DOI 2105
Context-aware services, Activity recognition, Benchmark testing, Task analysis, Videos, Sports, Context modeling BibRef

Zappardino, F.[Fabio], Uricchio, T.[Tiberio], Seidenari, L.[Lorenzo], del Bimbo, A.[Alberto],
Learning Group Activities from Skeletons without Individual Action Labels,
ICPR21(10412-10417)
IEEE DOI 2105
Data privacy, Art, Annotations, Computational modeling, Activity recognition, Feature extraction BibRef

Jia, B.X.[Bao-Xiong], Chen, Y.X.[Yi-Xin], Huang, S.Y.[Si-Yuan], Zhu, Y.X.[Yi-Xin], Zhu, S.C.[Song-Chun],
Lemma: A Multi-view Dataset for Learning Multi-agent Multi-task Activities,
ECCV20(XXVI:767-786).
Springer DOI 2011
BibRef

Chen, J.W.[Jun-Wen], Bao, W.T.[Wen-Tao], Kong, Y.[Yu],
Group Activity Prediction with Sequential Relational Anticipation Model,
ECCV20(XXI:581-597).
Springer DOI 2011
BibRef

Yan, R.[Rui], Xie, L.X.[Ling-Xi], Tang, J.H.[Jin-Hui], Shu, X.B.[Xiang-Bo], Tian, Q.[Qi],
Social Adaptive Module for Weakly-supervised Group Activity Recognition,
ECCV20(VIII:208-224).
Springer DOI 2011
BibRef

Shi, Z.S.[Zhen-Sheng], Guan, C.[Cheng], Cao, L.J.[Liang-Jie], Li, Q.Q.[Qian-Qian], Liang, J.[Ju], Gu, Z.R.[Zhao-Rui], Zheng, H.Y.[Hai-Yong], Zheng, B.[Bing],
CoTeRe-net: Discovering Collaborative Ternary Relations in Videos,
ECCV20(VI:379-396).
Springer DOI 2011
Code, Action Recognition.
WWW Link. Relations for action and behavior recognition. BibRef

Guo, X., Polanía, L.F., Zhu, B., Boncelet, C., Barner, K.E.,
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases,
WACV20(2910-2919)
IEEE DOI 2006
Feature extraction, Task analysis, Emotion recognition, Image recognition, Neural networks, Streaming media, Data mining BibRef

Graber, C., Schwing, A.G.,
Dynamic Neural Relational Inference,
CVPR20(8510-8519)
IEEE DOI 2008
Decoding, Trajectory, Predictive models, Forecasting, History, Task analysis BibRef

Gavrilyuk, K., Sanford, R., Javan, M., Snoek, C.G.M.,
Actor-Transformers for Group Activity Recognition,
CVPR20(836-845)
IEEE DOI 2008
Videos, Activity recognition, Feature extraction, Task analysis, Data mining BibRef

Hu, G., Cui, B., He, Y., Yu, S.,
Progressive Relation Learning for Group Activity Recognition,
CVPR20(977-986)
IEEE DOI 2008
Semantics, Spatiotemporal phenomena, Artificial neural networks, Feature extraction, Logic gates, Visualization BibRef

Chen, J., Hao, H., Hong, H., Kong, Y.,
RIT-18: A Novel Dataset for Compositional Group Activity Understanding,
WiCV20(1488-1494)
IEEE DOI 2008
Activity recognition, Games, Videos, Task analysis, Surveillance, YouTube BibRef

Li, J.N.[Jun-Nan], Liu, J.Q.[Jian-Quan], Wang, Y.K.[Yong-Kang], Nishimura, S.[Shoji], Kankanhalli, M.S.[Mohan S.],
Weakly-Supervised Multi-Person Action Recognition in 360° Videos,
WACV20(497-505)
IEEE DOI 2006
Videos, Cameras, Feature extraction, Radio frequency, Transforms, Training BibRef

Stephen, K.[Karen], Liu, J.Q.[Jian-Quan], Barsopia, V.[Vivek],
A Hybrid two-stream approach for Multi-Person Action Recognition in TOP-VIEW 360° Videos,
ICIP21(3418-3422)
IEEE DOI 2201
Image recognition, Art, Transforms, Streaming media, 360° video analysis, action recognition BibRef

Rhodin, H.[Helge], Constantin, V.[Victor], Katircioglu, I.[Isinsu], Salzmann, M.[Mathieu], Fua, P.[Pascal],
Neural Scene Decomposition for Multi-Person Motion Capture,
CVPR19(7695-7705).
IEEE DOI 2002
BibRef

Azar, S.M.[Sina Mokhtarzadeh], Atigh, M.G.[Mina Ghadimi], Nickabadi, A.[Ahmad], Alahi, A.[Alexandre],
Convolutional Relational Machine for Group Activity Recognition,
CVPR19(7884-7893).
IEEE DOI 2002
BibRef

Wu, J.C.[Jian-Chao], Wang, L.M.[Li-Min], Wang, L.[Li], Guo, J.[Jie], Wu, G.S.[Gang-Shan],
Learning Actor Relation Graphs for Group Activity Recognition,
CVPR19(9956-9966).
IEEE DOI 2002
BibRef

Sendo, K., Ukita, N.,
Heatmapping of People Involved in Group Activities,
MVA19(1-6)
DOI Link 1911
image colour analysis, image segmentation, people grouping, group activity, heatmapping people, deep network, Approximation algorithms BibRef

Akar, A.[Arif], Ikizler-Cinbis, N.[Nazli],
Mask Guided Fusion for Group Activity Recognition in Images,
CIAP19(II:282-291).
Springer DOI 1909
BibRef

Krishna, R.[Ranjay], Chami, I.[Ines], Bernstein, M.[Michael], Fei-Fei, L.[Li],
Referring Relationships,
CVPR18(6867-6876)
IEEE DOI 1812
Visualization, Task analysis, Semantics, Marine vehicles, Feature extraction, Genomics BibRef

Fan, L.F.[Li-Feng], Chen, Y.X.[Yi-Xin], Wei, P.[Ping], Wang, W.G.[Wen-Guan], Zhu, S.C.[Song-Chun],
Inferring Shared Attention in Social Scene Videos,
CVPR18(6460-6468)
IEEE DOI 1812
Videos, TV, Head, Task analysis, Motion pictures BibRef

Ibrahim, M.S.[Mostafa S.], Mori, G.[Greg],
Hierarchical Relational Networks for Group Activity Recognition and Retrieval,
ECCV18(III: 742-758).
Springer DOI 1810
BibRef

Tang, Y., Zhang, P., Hu, J.F., Zheng, W.S.,
Latent embeddings for collective activity recognition,
AVSS17(1-6)
IEEE DOI 1806
feature extraction, image recognition, learning (artificial intelligence), video signal processing, Visualization BibRef

Biswas, S.[Sovan], Gall, J.[Juergen],
Discovering Multi-label Actor-Action Association in a Weakly Supervised Setting,
ACCV20(V:547-561).
Springer DOI 2103
BibRef

Biswas, S.[Sovan], Gall, J.[Juergen],
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis,
WACV18(1625-1632)
IEEE DOI 1806
image motion analysis, recurrent neural nets, SRNN, group activity analysis, interconnected RNN, Videos BibRef

Li, X., Chuah, M.C.[Mooi Choo],
SBGAR: Semantics Based Group Activity Recognition,
ICCV17(2895-2904)
IEEE DOI 1802
feature extraction, image recognition, object recognition, video signal processing, Predictive models BibRef

Wang, M., Ni, B., Yang, X.,
Recurrent Modeling of Interaction Context for Collective Activity Recognition,
CVPR17(7408-7416)
IEEE DOI 1711
Activity recognition, Computational modeling, Context modeling, Encoding, Feature extraction, Logic gates, Tracking BibRef

Shu, T., Todorovic, S., Zhu, S.C.,
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition,
CVPR17(4255-4263)
IEEE DOI 1711
Activity recognition, Reliability, Training, Training data, Trajectory, Videos BibRef

Ienaga, N., Ozasa, Y., Saito, H.,
Speaker Identification Based on Integrated Face Direction in a Group Conversation,
HAAHDC17(53-57)
IEEE DOI 1609
face recognition, speaker recognition, group conversation, group members, integrated face direction, vision-based speaker identification, Context, Context modeling, Face, Kernel, Robots, Support vector machines, Training, data BibRef

Al-Raziqi, A.[Ali], Denzler, J.[Joachim],
Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes,
ICIAR17(399-407).
Springer DOI 1706
BibRef

Zhang, L., Hung, H.,
Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups from Static Images,
CVPR16(1086-1095)
IEEE DOI 1612
BibRef

Favaretto, R.M., Dihl, L., Barreto, R., Musse, S.R.,
Using group behaviors to detect Hofstede cultural dimensions,
ICIP16(2936-2940)
IEEE DOI 1610
Computer vision BibRef

Liu, Q., da Campos, T., Wang, W., Jackson, P.J.B.[Philip J. B.], Hilton, A.[Adrian],
Person Tracking Using Audio and Depth Cues,
3DVS15(709-717)
IEEE DOI 1602
Atmospheric measurements BibRef

Deng, Z., Vahdat, A., Hu, H., Mori, G.[Greg],
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition,
CVPR16(4772-4781)
IEEE DOI 1612
BibRef

He, J., Deng, Z., Ibrahim, M.S., Mori, G.,
Generic Tubelet Proposals for Action Localization,
WACV18(343-351)
IEEE DOI 1806
image classification, image motion analysis, object detection, video signal processing, J-HMDB21 dataset, L1 loss function, TPN, Videos BibRef

Ibrahim, M.S., Muralidharan, S.[Srikanth], Deng, Z., Vahdat, A., Mori, G.[Greg],
A Hierarchical Deep Temporal Model for Group Activity Recognition,
CVPR16(1971-1980)
IEEE DOI 1612
BibRef

Deng, Z.W.[Zhi-Wei], Zhai, M.Y.[Meng-Yao], Chen, L.[Lei], Liu, Y.H.[Yu-Hao], Muralidharan, S.[Srikanth], Roshtkhari, M.J.[Mehrsan Javan], Mori, G.[Greg],
Deep Structured Models For Group Activity Recognition,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Pereira, E.M.[Eduardo M.], Ciobanu, L.[Lucian], Cardoso, J.S.[Jaime S.],
Social Signaling Descriptor for Group Behaviour Analysis,
IbPRIA15(13-22).
Springer DOI 1506
BibRef

Yang, L.[Luyu], Gao, C.Q.[Chen-Qiang], Meng, D.Y.[De-Yu], Jiang, L.[Lu],
A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition,
ACCV14(V: 508-521).
Springer DOI 1504
BibRef

Sun, L.[Lei], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Activity Group Localization by Modeling the Relations among Participants,
ECCV14(I: 741-755).
Springer DOI 1408
BibRef

Choi, W.[Wongun], Chao, Y.W.[Yu-Wei], Pantofaru, C.[Caroline], Savarese, S.[Silvio],
Discovering Groups of People in Images,
ECCV14(IV: 417-433).
Springer DOI 1408
BibRef

Afsari, B.[Bijan], Chaudhry, R.[Rizwan], Ravichandran, A.[Avinash], Vidal, R.[Rene],
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes,
CVPR12(2208-2215).
IEEE DOI 1208
BibRef

Chaudhry, R.[Rizwan], Ravichandran, A.[Avinash], Hager, G.D.[Gregory D.], Vidal, R.[Rene],
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions,
CVPR09(1932-1939).
IEEE DOI 0906
BibRef

Setti, F.[Francesco], Lanz, O.[Oswald], Ferrario, R.[Roberta], Murino, V.[Vittorio], Cristani, M.[Marco],
Multi-scale f-formation discovery for group detection,
ICIP13(3547-3551)
IEEE DOI 1402
F-formation; group detection; group detection metrics BibRef

Burkert, F., Fraundorfer, F.,
UAV-Based Monitoring of Pedestrian Groups,
UAV-g13(67-72).
DOI Link 1311
BibRef

Yin, Y.F.[Ya-Feng], Yang, G.[Guang], Xu, J.[Jin], Man, H.[Hong],
Small group human activity recognition,
ICIP12(2709-2712).
IEEE DOI 1302
BibRef

Tung, T.[Tony], Gomez, R.[Randy], Kawahara, T.[Tatsuya], Matsuyama, T.[Takashi],
Group Dynamics and Multimodal Interaction Modeling Using a Smart Digital Signage,
VECTaR12(I: 362-371).
Springer DOI 1210
BibRef

Duan, G.[Genquan], Ai, H.Z.[Hai-Zhou], Cao, S.[Song], Lao, S.H.[Shi-Hong],
Group Tracking: Exploring Mutual Relations for Multiple Object Tracking,
ECCV12(III: 129-143).
Springer DOI 1210
BibRef

Zhang, Y.M.[Yi-Meng], Ge, W.[Weina], Chang, M.C.[Ming-Ching], Liu, X.M.[Xiao-Ming],
Group context learning for event recognition,
WACV12(249-255).
IEEE DOI 1203
Award, WACV, Student. motion and interaction of members in a group BibRef

Carmi, A.Y.[Avishy Y.], Mihaylova, L.[Lyudmila], Septier, F.[Francois], Pang, S.K.[Sze Kim], Gurfil, P.[Pini], Godsill, S.J.[Simon J.],
MCMC-based tracking and identification of leaders in groups,
MSVALC11(112-119).
IEEE DOI 1201
Who is the leader? BibRef

Sandikci, S.[Selçuk], Zinger, S.[Svitlana], de With, P.H.N.[Peter H.N.],
Detection of Human Groups in Videos,
ACIVS11(507-518).
Springer DOI 1108
BibRef

Cheng, Z.W.[Zhong-Wei], Qin, L.[Lei], Huang, Q.M.[Qing-Ming], Jiang, S.Q.[Shu-Qiang], Tian, Q.[Qi],
Group Activity Recognition by Gaussian Processes Estimation,
ICPR10(3228-3231).
IEEE DOI 1008
BibRef

Wei, Q.D.[Qing-Di], Zhang, X.Q.[Xiao-Qin], Kong, Y.[Yu], Hu, W.M.[Wei-Ming], Ling, H.B.[Hai-Bin],
Group Action Recognition Using Space-Time Interest Points,
ISVC09(II: 757-766).
Springer DOI 0911
BibRef

Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Understanding images of groups of people,
CVPR09(256-263).
IEEE DOI 0906
BibRef

Hoogs, A.J.[Anthony J.], Bush, S.[Steve], Brooksby, G.[Glen], Perera, A.G.A.[A.G. Amitha], Dausch, M.[Mark], Krahnstoever, N.O.[Nils O.],
Detecting Semantic Group Activities Using Relational Clustering,
Motion08(1-8).
IEEE DOI 0801
BibRef

Ngoc, H.B.B.[Huy-Binh Bui], Bremond, F., Thonnat, M., Faure, J.C.,
Shape recognition based on a video and multi-sensor system,
AVSBS05(230-235).
IEEE DOI 0602
for interacting people. BibRef

Cupillard, F., Bremond, F., Thonnat, M.,
Group behavior recognition with multiple cameras,
WACV02(177-183).
IEEE DOI 0303
BibRef

Hosie, R.[Robin], Venkatesh, S.[Svetha], West, G.A.W.[Geoff A.W.],
Classifying and Detecting Group Behaviour from Visual Surveillance Data,
ICPR98(Vol I: 602-604).
IEEE DOI 9808
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Social Interactions, Human Activities, Social Grouping .


Last update:Mar 16, 2024 at 20:36:19