17.1.3.6.22 Human Action Recognition, Indoor Environments, Classroom, Smart Room

Chapter Contents (Back)
Activity Recognition. Action Recognition. Human Actions. Human Motion. Smart Room. Indoor Environment. Classroom Environment.
See also Human Action Recognition, Office, Meetings.
See also Human Activities, Interacting with Objects. Instructional videos:
See also Instructional, Training Videos, How To, Teach Machine How.

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Earlier:
People monitoring using face recognition with observation constraints,
ICIP04(III: 1437-1440).
IEEE DOI 0505
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Peursum, P.[Patrick], Bui, H.H.[Hung H.], Venkatesh, S.[Svetha], West, G.A.W.[Geoff A.W.],
Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations,
JASP(2005), No. 13, 2005, pp. 2110-2126.
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Earlier:
Human action segmentation via controlled use of missing data in HMMs,
ICPR04(IV: 440-445).
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Peursum, P.[Patrick], Venkatesh, S.[Svetha], West, G.A.W.[Geoff A.W.],
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Springer DOI 1001
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Earlier:
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis,
CVPR07(1-8).
IEEE DOI 0706
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Earlier:
Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects,
ICPR06(IV: 929-934).
IEEE DOI 0609
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Earlier: A1, A3, A2:
Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views,
ICCV05(I: 82-89).
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Lu, Y.[Yao], Li, L.[Ling], Peursum, P.,
Background Suppression for Building Accurate Appearance Models in Human Motion Tracking,
DICTA12(1-6).
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Truyen, T.T.[Tran The], Phung, D.Q.[Dinh Q.], Venkatesh, S.[Svetha], Bui, H.H.[Hung H.],
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition,
CVPR06(II: 1686-1693).
IEEE DOI 0606
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McKenna, S.J.[Stephen J.], Nait-Charif, H.[Hammadi],
Tracking human motion using auxiliary particle filters and iterated likelihood weighting,
IVC(25), No. 6, 1 June 2007, pp. 852-862.
Elsevier DOI 0704
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Earlier:
Learning spatial context from tracking using penalised likelihoods,
ICPR04(IV: 138-141).
IEEE DOI 0409
Human tracking; Particle filters; Iterated likelihood weighting; Supportive environments; Head tracking BibRef

Ward, J.A., Lukowicz, P.[Paul], Troster, G.[Gerhard], Starner, T.E.,
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers,
PAMI(28), No. 10, October 2006, pp. 1553-1567.
IEEE DOI 0609
Tracking hand and sound to provide feedback to assembly and maintenance workers. BibRef

Zhou, Z., Chen, X., Chung, Y.C., He, Z.H., Han, T.X., Keller, J.M.,
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring,
CirSysVideo(18), No. 11, November 2008, pp. 1489-1498.
IEEE DOI 0811
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Hsu, W.L., Hsiao, C.C., Chang, Y.L., Chen, T.L.,
Vision-based monitoring method using gray relational analysis,
IET-CV(3), No. 3, September 2009, pp. 103-111.
DOI Link 0909
Room surveillance using cellular model. BibRef

Guethmundsson, S.A.[Sigurjon Arni], Pardas, M.[Montse], Casas, J.R.[Josep R.], Sveinsson, J.R.[Johannes R.], Aanaes, H.[Henrik], Larsen, R.[Rasmus],
Improved 3D reconstruction in smart-room environments using ToF imaging,
CVIU(114), No. 12, December 2010, pp. 1376-1384.
Elsevier DOI 1011
Time-of-Flight; 3D reconstruction; Background modeling; Shape-from-Silhouette; Sensor fusion BibRef

Guomundsson, S.A.[Sigurjon Arni], Larsen, R.[Rasmus], Aanaes, H.[Henrik], Pardas, M.[Montse], Casas, J.R.[Josep Ramon],
ToF imaging in Smart room environments towards improved people tracking,
TOF-CV08(1-6).
IEEE DOI 0806
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Kosmopoulos, D.I.[Dimitrios I.], Doulamis, N.D.[Nikolaos D.], Voulodimos, A.S.[Athanasios S.],
Bayesian filter based behavior recognition in workflows allowing for user feedback,
CVIU(116), No. 3, March 2012, pp. 422-434.
Elsevier DOI 1201
Bayesian filter; Hidden Markov models; Behavior recognition; Workflow; User feedback BibRef

Voulodimos, A.S.[Athanasios S.], Doulamis, A.D.[Anastasios D.], Kosmopoulos, D.I.[Dimitrios I.], Varvarigou, T.A.[Theodora A.],
Video summarization guiding evaluative rectification for industrial activity recognition,
ARTEMIS11(950-957).
IEEE DOI 1201
BibRef
Earlier: A2, A1, A3, A4:
Enhanced human behavior recognition using HMM and evaluative rectification,
ARTEMIS10(39-44).
DOI Link 1111
BibRef

Kosmopoulos, D.I.[Dimitrios I.], Voulodimos, A.S.[Athanasios S.], Varvarigou, T.A.[Theodora A.],
Robust Human Behavior Modeling from Multiple Cameras,
ICPR10(3575-3578).
IEEE DOI 1008
BibRef

Cook, D.J.[Diane J.],
Learning Setting-Generalized Activity Models for Smart Spaces,
IEEE_Int_Sys(27), No. 1, January-February 2012, pp. 32-38.
IEEE DOI 1203
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Wu, C.L., Fu, L.C.,
Design and Realization of a Framework for Human-System Interaction in Smart Homes,
SMC-A(42), No. 1, January 2012, pp. 15-31.
IEEE DOI 1112
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Hazarika, S.M.[Shyamanta M.], Bhowmick, A.[Alexy],
Learning rules of a card game from video,
AIR(38), No. 1, June 2012, pp. 55-65.
WWW Link. 1208
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Voulodimos, A.S.[Athanasios S.], Kosmopoulos, D.I.[Dimitrios I.], Vasileiou, G.[Georgios], Sardis, E.[Emmanuel], Anagnostopoulos, V.[Vasileios], Lalos, C.[Constantinos], Doulamis, A.[Anastasios], Varvarigou, T.A.[Theodora A.],
A Threefold Dataset for Activity and Workflow Recognition in Complex Industrial Environments,
MultMedMag(19), No. 3, 2012, pp. 42-52.
IEEE DOI 1209
BibRef
Earlier: A1, A2, A3, A4, A7, A5, A6, A8:
A dataset for workflow recognition in industrial scenes,
ICIP11(3249-3252).
IEEE DOI 1201
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Alameda-Pineda, X.[Xavier], Staiano, J.[Jacopo], Subramanian, R.[Ramanathan], Batrinca, L., Ricci, E., Lepri, B.[Bruno], Lanz, O., Sebe, N.[Nicu],
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,
PAMI(38), No. 8, August 2016, pp. 1707-1720.
IEEE DOI 1608
accelerometers BibRef

Krüger, V.[Volker], Herzog, D.L.[Dennis L.],
Tracking in object action space,
CVIU(117), No. 7, July 2013, pp. 764-789.
Elsevier DOI 1305
Action recognition; Parametric gestures; Tracking; Pose estimation BibRef

Herzog, D.L., Krüger, V.[Volker], Grest, D.[Daniel],
Parametric Hidden Markov Models for Recognition and Synthesis of Movements,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Raamana, P.R.[Pradeep Reddy], Grest, D.[Daniel], Krueger, V.[Volker],
Human Action Recognition in Table-Top Scenarios: An HMM-Based Analysis to Optimize the Performance,
CAIP07(101-108).
Springer DOI 0708
BibRef

Prest, A.[Alessandro], Schmid, C.[Cordelia], Ferrari, V.[Vittorio],
Weakly Supervised Learning of Interactions between Humans and Objects,
PAMI(34), No. 3, March 2012, pp. 601-614.
IEEE DOI 1201
Initialize from human detector. combine set of part detectors. Determine action object and spatial relation to person. BibRef

Prest, A.[Alessandro], Ferrari, V.[Vittorio], Schmid, C.[Cordelia],
Explicit Modeling of Human-Object Interactions in Realistic Videos,
PAMI(35), No. 4, April 2013, pp. 835-848.
IEEE DOI 1303
Localize and track both object and person. BibRef

Scalmato, A., Sgorbissa, A., Zaccaria, R.,
Describing and Recognizing Patterns of Events in Smart Environments With Description Logic,
Cyber(43), No. 6, 2013, pp. 1882-1897.
IEEE DOI 1312
Cognition BibRef

Arbab-Zavar, B.[Banafshe], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
On hierarchical modelling of motion for workflow analysis from overhead view,
MVA(25), No. 2, February 2014, pp. 345-359.
WWW Link. 1402
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Rivet, B., Wang, W., Naqvi, S.M.A.[Syed Moeen Ali], Chambers, J.,
Audiovisual Speech Source Separation: An overview of key methodologies,
SPMag(31), No. 3, May 2014, pp. 125-134.
IEEE DOI 1405
Audio-visual systems BibRef

Xue, Y.[Yang], Hu, Y.Q.[Yao-Quan], Jin, L.W.[Lian-Wen],
Activity Recognition Based on an Accelerometer in a Smartphone Using an FFT-Based New Feature and Fusion Methods,
IEICE(E97-D), No. 8, August 2014, pp. 2182-2186.
WWW Link. 1408

See also New Rotation Feature for Single Tri-axial Accelerometer Based 3D Spatial Handwritten Digit Recognition, A. BibRef

Lopes, O., Reyes, M., Escalera, S., Gonzalez, J.,
Spherical Blurred Shape Model for 3-D Object and Pose Recognition: Quantitative Analysis and HCI Applications in Smart Environments,
Cyber(44), No. 12, December 2014, pp. 2379-2390.
IEEE DOI 1412
computer graphics BibRef

lo Presti, L.[Liliana], La Cascia, M.[Marco], Sclaroff, S.[Stan], Camps, O.I.[Octavia I.],
Hankelet-based dynamical systems modeling for 3D action recognition,
IVC(44), No. 1, 2015, pp. 29-43.
Elsevier DOI 1601
Hidden Markov Model BibRef

lo Presti, L.[Liliana], La Cascia, M.[Marco],
3D skeleton-based human action classification: A survey,
PR(53), No. 1, 2016, pp. 130-147.
Elsevier DOI 1602
Action recognition BibRef

Benmansour, A.[Asma], Bouchachia, A.[Abdelhamid], Feham, M.[Mohammed],
Multioccupant Activity Recognition in Pervasive Smart Home Environments,
Surveys(48), No. 3, February 2016, pp. Article No 34.
DOI Link 1602
Survey, Smart Home. Human activity recognition in ambient intelligent environments like homes, offices, and classrooms has been the center of a lot of research for many years now. The aim is to recognize the sequence of actions by a specific person using sensor readings BibRef

Woo, D.N.[Daniel N.], Aygün, R.S.[Ramazan S.],
Unsupervised Speaker Identification for TV News,
MultMedMag(23), No. 4, October 2016, pp. 50-58.
IEEE DOI 1612
Character recognition BibRef

Zhao, W., Lun, R., Gordon, C., Fofana, A.B.M., Espy, D.D., Reinthal, M.A., Ekelman, B., Goodman, G.D., Niederriter, J.E., Luo, X.,
A Human-Centered Activity Tracking System: Toward a Healthier Workplace,
HMS(47), No. 3, June 2017, pp. 343-355.
IEEE DOI 1706
Employment, Injuries, Intelligent sensors, Iris recognition, Sensor systems, Alert, Microsoft Kinect, biometrics, gesture recognition, human motion tracking, selective tracking, single sign-on BibRef

Atoum, Y., Chen, L., Liu, A.X., Hsu, S.D.H., Liu, X.,
Automated Online Exam Proctoring,
MultMed(19), No. 7, July 2017, pp. 1609-1624.
IEEE DOI 1706
Feature extraction, Monitoring, Multimedia communication, Sensors, Visualization, Webcams, Covariance feature, gaze estimation, online exam proctoring (OEP), phone detection, speech detection, text detection, user, verification BibRef

Lederman, O., Mohan, A., Calacci, D., Pentland, A.S.,
Rhythm: A Unified Measurement Platform for Human Organizations,
MultMedMag(25), No. 1, January 2018, pp. 26-38.
IEEE DOI 1804
Behavioral sciences, Human factors, Mobile communication, Monitoring, Real-time systems, Social factors, Streaming media, wearable computing BibRef

Nida, N.[Nudrat], Yousaf, M.H.[Muhammad Haroon], Irtaza, A.[Aun], Velastin, S.A.[Sergio A.],
Bag of Deep Features for Instructor Activity Recognition in Lecture Room,
MMMod19(II:481-492).
Springer DOI 1901
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Kastrati, Z.[Zenun], Imran, A.S.[Ali Shariq], Kurti, A.[Arianit],
Integrating word embeddings and document topics with deep learning in a video classification framework,
PRL(128), 2019, pp. 85-92.
Elsevier DOI 1912
Online course videos. Deep learning, Video classification, Embedding, Document topics, CNN, DNN BibRef

Saini, M.K.[Mukesh Kumar], Goel, N.[Neeraj],
How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies,
Surveys(52), No. 6, December 2019, pp. xx-yy.
DOI Link 2001
Smart, teacher, multimedia, classroom, student, content, assessment BibRef

Hu, H.Y.[Hai-Yang], Cheng, K.M.[Kai-Ming], Li, Z.J.[Zhong-Jin], Chen, J.[Jie], Hu, H.[Hua],
Workflow recognition with structured two-stream convolutional networks,
PRL(130), 2020, pp. 267-274.
Elsevier DOI 2002
Monitoring work. Workflow recognition, Action recognition, Deep learning, Two-stream CNNs BibRef

Liu, Y.[Yang], Kiliç, V.[Volkan], Guan, J.[Jian], Wang, W.W.[Wen-Wu],
Audio-Visual Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking,
MultMed(22), No. 4, April 2020, pp. 934-948.
IEEE DOI 2004
Atmospheric measurements, Particle measurements, Noise measurement, Frequency modulation, Visualization, Optimal Proposal Distribution BibRef

Liu, Y.[Yang], Xu, Y.[Yong], Wu, P.P.[Pei-Pei], Wang, W.W.[Wen-Wu],
Labelled Non-Zero Diffusion Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking,
MultMed(26), 2024, pp. 2544-2559.
IEEE DOI 2402
Visualization, Particle measurements, Atmospheric measurements, Information filters, Target tracking, Filtering algorithms, particle flow BibRef

Nie, Y.[Yong],
On-line classroom visual tracking and quality evaluation by an advanced feature mining technique,
SP:IC(84), 2020, pp. 115817.
Elsevier DOI 2004
Visual tracking, Data mining, Online Classroom, Quality evaluation, Behavior analysis BibRef

Yun, W.H., Lee, D., Park, C., Kim, J., Kim, J.,
Automatic Recognition of Children Engagement from Facial Video Using Convolutional Neural Networks,
AffCom(11), No. 4, October 2020, pp. 696-707.
IEEE DOI 2011
Feature extraction, Face recognition, Cameras, Face, Heuristic algorithms, Machine learning, Databases, pattern recognition BibRef

Beltrán, L.V.B.[L. Viviana Beltrán], Caicedo, J.C.[Juan C.], Journet, N.[Nicholas], Coustaty, M.[Mickaël], Lecellier, F.[François], Doucet, A.[Antoine],
Deep multimodal learning for cross-modal retrieval: One model for all tasks,
PRL(146), 2021, pp. 38-45.
Elsevier DOI 2105
Embeddings, Multimodal learning, Deep learning, Cross-modal, Visual question answering, Evaluation study BibRef

Nguyen, N.V.[Nhu Van], Coustaty, M.[Mickal], Ogier, J.M.[Jean-Marc],
Multi-modal and Cross-Modal for Lecture Videos Retrieval,
ICPR14(2667-2672)
IEEE DOI 1412
Accuracy; Indexing; Semantics; Speech; Videos; Visualization BibRef

Bosch, N.[Nigel], d'Mello, S.K.[Sidney K.],
Automatic Detection of Mind Wandering from Video in the Lab and in the Classroom,
AffCom(12), No. 4, October 2021, pp. 974-988.
IEEE DOI 2112
Physiology, Heart rate, Cameras, Facial features, Support vector machines, Detectors, Human computer interaction, human-computer interaction BibRef

Chen, L.Y.[Li-Yan], Yang, H.R.[Hao-Ran], Liu, K.H.[Kun-Hong],
Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students,
MMMod22(II:255-266).
Springer DOI 2203
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Islam, M.R.[M. Rabiul], Vargo, A.W.[Andrew W.], Iwata, M.[Motoi], Iwamura, M.[Masakazu], Kise, K.[Koichi],
Exploring Sensor Modalities to Capture User Behaviors for Reading Detection,
IEICE(E105-D), No. 9, September 2022, pp. 1629-1633.
WWW Link. 2209
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Zhang, F.[Fan],
A novel restricted Boltzmann machine-based temporal-spatial correlation method for student behaviour recognition in depth video,
IJCVR(12), No. 5, 2022, pp. 487-505.
DOI Link 2209
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Ramakrishnan, A.[Anand], Zylich, B.[Brian], Ottmar, E.[Erin], LoCasale-Crouch, J.[Jennifer], Whitehill, J.[Jacob],
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate,
AffCom(14), No. 1, January 2023, pp. 664-679.
IEEE DOI 2303
Videos, Meteorology, Encoding, Machine learning, Activity recognition, Automatic classroom observation, auditory analysis BibRef

Sümer, Ö.[Ömer], Goldberg, P.[Patricia], D'Mello, S.[Sidney], Gerjets, P.[Peter], Trautwein, U.[Ulrich], Kasneci, E.[Enkelejda],
Multimodal Engagement Analysis From Facial Videos in the Classroom,
AffCom(14), No. 2, April 2023, pp. 1012-1027.
IEEE DOI 2306
Observers, Magnetic heads, Feature extraction, Videos, Psychology, Affective computing, Affective computing, computer vision, nonverbal behaviour understanding BibRef

Xu, Y.P.[Ya-Ping], Li, Y.Y.[Yan-Yan], Chen, Y.[Yunshan], Bao, H.G.[Hao-Gang], Zheng, Y.Q.[Ya-Qian ],
Spontaneous visual database for detecting learning-centered emotions during online learning,
IVC(136), 2023, pp. 104739.
Elsevier DOI 2308
Learning-centered emotions, Emotion recognition, Emotional database, Machine learning, Deep learning BibRef

Li, Y.T.[Ya-Ting], Qi, X.[Xin], Saudagar, A.K.J.[Abdul Khader Jilani], Badshah, A.M.[Abdul Malik], Muhammad, K.[Khan], Liu, S.[Shuai],
Student behavior recognition for interaction detection in the classroom environment,
IVC(136), 2023, pp. 104726.
Elsevier DOI 2308
Surveillance, Relational reasoning, Human-to-object interaction, Action recognition, Intelligent education BibRef

Booth, B.M.[Brandon M.], Bosch, N.[Nigel], D'Mello, S.K.[Sidney K.],
Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review,
PIEEE(111), No. 10, October 2023, pp. 1398-1422.
IEEE DOI 2310
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Tosato, L.[Lucrezia], Fortier, V.[Victor], Bloch, I.[Isabelle], Pelachaud, C.[Catherine],
Exploiting temporal information to detect conversational groups in videos and predict the next speaker,
PRL(177), 2024, pp. 164-168.
Elsevier DOI 2401
F-formation, Clustering, Temporal information, Next speaker prediction, LSTM BibRef

Banzon, A.M.[Allison Macey], Beever, J.[Jonathan], Taub, M.[Michelle],
Facial Expression Recognition in Classrooms: Ethical Considerations and Proposed Guidelines for Affect Detection in Educational Settings,
AffCom(15), No. 1, January 2024, pp. 93-104.
IEEE DOI 2403
Ethics, Education, Face recognition, Software, Affective computing, Writing, Task analysis, Affective computing, ethical/societal implications BibRef


Lee, D.W.[Dong Won], Ahuja, C.[Chaitanya], Liang, P.P.[Paul Pu], Natu, S.[Sanika], Morency, L.P.[Louis-Philippe],
Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos,
ICCV23(20030-20041)
IEEE DOI 2401
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Dimitriadou, E.A.[Eleni A.], Lanitis, A.[Andreas],
A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features,
CAIP23(II:3-12).
Springer DOI 2312
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S, D.S.[Darshan Singh], Gupta, A.[Anchit], Jawahar, C.V., Tapaswi, M.[Makarand],
Unsupervised Audio-Visual Lecture Segmentation,
WACV23(5221-5230)
IEEE DOI 2302
Visualization, Pandemics, Navigation, Optical character recognition, Motion pictures, Vision + language and/or other modalities BibRef

Li, Y.[Yong], Zhang, S.P.[Shui-Ping],
Character Attentiveness Analysis Based on Deep Learning,
ICRVC22(291-294)
IEEE DOI 2301
Deep learning, Training, Service robots, Fatigue, Feature extraction, Behavioral sciences, target detection, person concentration analysis BibRef

Lee, T.[Taeckyung], Kim, D.[Dain], Park, S.[Sooyoung], Kim, D.[Dongwhi], Lee, S.J.[Sung-Ju],
Predicting Mind-Wandering with Facial Videos in Online Lectures,
CVPM22(2103-2112)
IEEE DOI 2210
Webcams, Computational modeling, Education, Predictive models, Data collection, Physiology BibRef

Yao, P.[Powen], Hou, Y.[Yu], He, Y.[Yuan], Cheng, D.[Da], Hu, H.[Huanpu], Zyda, M.[Michael],
Using Multi-modal Machine Learning for User Behavior Prediction in Simulated Smart Home for Extended Reality,
VAMR22(I:94-112).
Springer DOI 2206
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Tamaki, R.[Reiya], Nakajima, T.[Tatsuo],
Are You There? A Study on Measuring Presence in Immersive Virtual Reality,
VAMR22(I:275-288).
Springer DOI 2206
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Copur, O.[Onur], Nakip, M.[Mert], Scardapane, S.[Simone], Slowack, J.[Jürgen],
Engagement Detection with Multi-Task Training in E-Learning Environments,
CIAP22(III:411-422).
Springer DOI 2205
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Chu, L.[Lutao], Liu, Y.[Yi], Wu, Z.[Zewu], Tang, S.Y.[Shi-Yu], Chen, G.[Guowei], Hao, Y.Y.[Yu-Ying], Peng, J.C.[Jun-Cai], Yu, Z.L.[Zhi-Liang], Chen, Z.[Zeyu], Lai, B.H.[Bao-Hua], Xiong, H.[Haoyi],
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset,
Activity22(202-209)
IEEE DOI 2202
Teleconferencing, Semantics, Predictive models, Feature extraction, Loss measurement, Real-time systems, Topology BibRef

Guney, C., Akinci, O., Çamoglu, K.,
Artificial Learning-Based Proctoring Solution for Remote Online Assessments: 'VProctor',
SmartCityApp21(235-238).
DOI Link 2201
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Che, B.L.[Bao-Liang], Li, X.M.[Xiao-Meng], Zhao, Z.L.[Zheng-Li], Lu, W.G.[Wei-Gang], Jiang, P.[Peng],
A Database of Students' Actions Based on Real Classroom Environment,
ICIVC21(76-80)
IEEE DOI 2112
Training, Image resolution, Image recognition, Databases, Benchmark testing, Usability, students' actions, action recognition BibRef

Tran, P.[Phuong], Pattichis, M.[Marios], Celedón-Pattichis, S.[Sylvia], LópezLeiva, C.[Carlos],
Facial Recognition in Collaborative Learning Videos,
CAIP21(II:252-261).
Springer DOI 2112
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Paliwal, P.[Pinak], Paliwal, V.[Vikas],
3D Scene Angles using UL Decomposition of Planar Homography,
StruCo3D21(2031-2038)
IEEE DOI 2112
Proctoring during online exams. Shape, Surveillance, Image processing, Image edge detection, Software algorithms BibRef

Delgado, K.[Kevin], Origgi, J.M.[Juan Manuel], Hasanpoor, T.[Tania], Yu, H.[Hao], Allessio, D.[Danielle], Arroyo, I.[Ivon], Lee, W.[William], Betke, M.[Margrit], Woolf, B.[Beverly], Bargal, S.A.[Sarah Adel],
Student Engagement Dataset,
ABAW21(3621-3629)
IEEE DOI 2112
Dataset, Classrooms. Training, Deep learning, Visualization, Head, Distance learning, Time series analysis BibRef

Sun, B.[Bo], Wu, Y.[Yong], Hao, Z.[Zhuo], Yan, H.Q.[Huan-Qing], He, J.[Jun],
Student Break Behavior Recognition Dataset,
ICIVC21(72-75)
IEEE DOI 2112
Costs, Education, Manuals, Explosives, Reliability, Artificial intelligence, student break behavior, video dataset, baseline BibRef

Caus, D.[Danu], Carbajal, G.[Guillaume], Gerkmann, T.[Timo], Frintrop, S.[Simone],
See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion,
CVS21(41-51).
Springer DOI 2109
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Zhang, P.[Peng], Liu, Z.Q.[Zhong-Qi], Chen, X.M.[Xue-Mei], Zhou, Q.X.[Qian-Xiang],
Study on Evaluation Index of Physical Load of Chemical Prevention Personnel in High Temperature and Humidity Environment,
DHM21(I:67-78).
Springer DOI 2108
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Kota, B.U.[Bhargava Urala], Stone, A.[Alexander], Davila, K.[Kenny], Setlur, S.[Srirangaraj], Govindaraju, V.[Venu],
Automated Whiteboard Lecture Video Summarization by Content Region Detection and Representation,
ICPR21(10704-10711)
IEEE DOI 2105
Measurement, Histograms, Handwriting recognition, Navigation, Feature extraction, Minimization, Videos BibRef

Xu, F.[Fei], Davila, K.[Kenny], Setlur, S.[Srirangaraj], Govindaraju, V.[Venu],
Skeleton-based Methods for Speaker Action Classification on Lecture Videos,
HCAU20(250-264).
Springer DOI 2103
BibRef

Schiphorst, L., Doyran, M., Molenaar, S., Salah, A.A., Brinkkemper, S.,
Video2Report: A Video Database for Automatic Reporting of Medical Consultancy Sessions,
FG20(552-556)
IEEE DOI 2102
Cameras, Databases, Biomedical imaging, Feature extraction, Skeleton, Medical services, Lung, Machine Learning, Video Processing, LSTM BibRef

Ding, J., Xu, L., Guo, J., Dai, S.,
Human Detection In Dense Scene Of Classrooms,
ICIP20(618-622)
IEEE DOI 2011
Proposals, Detectors, Training, Object detection, Semantics, Feature extraction, Convolution, Human detection, discriminative part BibRef

Shen, C., Xue, M., Wang, X., Song, J., Sun, L., Song, M.,
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation,
ICCV19(3503-3512)
IEEE DOI 2004
computer aided instruction, learning (artificial intelligence), neural nets, heterogeneous teachers, selective learning scheme, task-specific knowledge BibRef

Dai, Z.C.[Zi-Chun], Sun, C.[Chao], Yu, X.G.[Xin-Guo], Xiang, Y.[Ying],
Detecting Global Exam Events in Invigilation Videos Using 3d Convolutional Neural Network,
PSIVT19(172-182).
Springer DOI 2003
Exam monitoring. BibRef

Li, X.T.[Xue-Ting], Liu, S.F.[Si-Fei], Kim, K.[Kihwan], Wang, X.L.[Xiao-Long], Yang, M.H.[Ming-Hsuan], Kautz, J.[Jan],
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments,
CVPR19(12360-12368).
IEEE DOI 2002
what human poses are afforded by a given indoor environment. Do they sit, stand, etc. BibRef

Li, Y., Hung, Y.,
Feature Fusion of Face and Body for Engagement Intensity Detection,
ICIP19(3312-3316)
IEEE DOI 1910
neural networks, engagement detection, educational technology BibRef

Alkabbany, I., Ali, A., Farag, A., Bennett, I., Ghanoum, M., Farag, A.,
Measuring Student Engagement Level Using Facial Information,
ICIP19(3337-3341)
IEEE DOI 1910
Engagement level measurement, Machine Learning, Learning Disabilities BibRef

Canedo, D.[Daniel], Trifan, A.[Alina], Neves, A.J.R.[António J. R.],
Focus Estimation in Academic Environments Using Computer Vision,
IbPRIA19(I:620-628).
Springer DOI 1910
BibRef

Sarker, M.M.K.[M. Mostafa Kamal], Rashwan, H.A.[Hatem A.], Talavera, E.[Estefania], Banu, S.F.[Syeda Furruka], Radeva, P.[Petia], Puig, D.[Domenec],
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams,
Egocentric18(V:423-433).
Springer DOI 1905
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Mery, D., Mackenney, I., Villalobos, E.,
Student Attendance System in Crowded Classrooms Using a Smartphone Camera,
WACV19(857-866)
IEEE DOI 1904
cameras, computer aided instruction, educational administrative data processing, Protocols BibRef

Singhal, A., Ali, M.R., Baten, R.A., Kurumada, C., Marvin, E.W., Hoque, M.E.,
Analyzing the Impact of Gender on the Automation of Feedback for Public Speaking,
FG18(607-613)
IEEE DOI 1806
Feature extraction, Gold, Interviews, Linear regression, Predictive models, Public speaking, Videos, Facial Analysis, Public Speaking BibRef

Sharma, R., Guha, T., Sharma, G.,
Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking,
WACV18(476-484)
IEEE DOI 1806
data visualisation, face recognition, feedforward neural nets, learning (artificial intelligence), TED talk videos, YouTube BibRef

Jiang, H., Dykstra, K., Whitehill, J.,
Predicting When Teachers Look at Their Students in 1-on-1 Tutoring Sessions,
FG18(593-598)
IEEE DOI 1806
Cameras, Detectors, Face, History, Neural networks, Predictive models, Visualization, eye gaze prediction BibRef

Hulens, D.[Dries], Aerts, B.[Bram], Chakravarty, P.[Punarjay], Diba, A.[Ali], Goedemé, T.[Toon], Roussel, T.[Tom], Zegers, J.[Jeroen], Tuytelaars, T.[Tinne], van Eycken, L.[Luc], Van Gool, L.J.[Luc J.], van Hamme, H.[Hugo], Vennekens, J.[Joost],
The CAMETRON Lecture Recording System: High Quality Video Recording and Editing with Minimal Human Supervision,
MMMod18(I:518-530).
Springer DOI 1802
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Deng, Z.W.[Zhi-Wei], Navarathna, R.[Rajitha], Carr, P.[Peter], Mandt, S.[Stephan], Yue, Y.S.[Yi-Song], Matthews, I.[Iain], Mori, G.[Greg],
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies,
CVPR17(6014-6023)
IEEE DOI 1711
Data models, Decoding, Machine learning, Motion pictures, Neural networks, Probabilistic logic, Tensile, stress BibRef

Cote, M., Dash, A., Albu, A.B.,
Look who is not talking: Assessing engagement levels in panel conversations,
ICPR16(2109-2114)
IEEE DOI 1705
Body regions, Computational modeling, Feature extraction, History, Pattern recognition, Visualization, behavioral patterns, group interaction, motion analysis, non-speaker identification, nonverbal communication, pixel change history, support vector machines, video, analysis BibRef

Chakravarty, P.[Punarjay], Tuytelaars, T.[Tinne],
Cross-Modal Supervision for Learning Active Speaker Detection in Video,
ECCV16(V: 285-301).
Springer DOI 1611
BibRef

Bergh, T.F., Hafizovic, I., Holm, S.,
Multi-speaker voice activity detection using a camera-assisted microphone array,
WSSIP16(1-4)
IEEE DOI 1608
Chebyshev filters BibRef

Bhattacharya, I.[Indrani], Radke, R.J.[Richard J.],
Arrays of single pixel time-of-flight sensors for privacy preserving tracking and coarse pose estimation,
WACV16(1-9)
IEEE DOI 1511
Cameras BibRef

Kamath, A., Biswas, A., Balasubramanian, V.,
A crowdsourced approach to student engagement recognition in e-learning environments,
WACV16(1-9)
IEEE DOI 1511
Bridges BibRef

Yang, S.F.[Song-Fan], An, L.[Le],
Analyzing user behavior in online advertising with facial expressions,
ICPR16(4238-4243)
IEEE DOI 1705
Advertising, Dictionaries, Face, Feature extraction, Internet, Statistics, Support, vector, machines BibRef

Yang, S.F.[Song-Fan], An, L.[Le], Kafai, M., Bhanu, B.,
To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,
FG15(1-8)
IEEE DOI 1508
advertising data processing BibRef

Coutrot, A.[Antoine], Guyader, N.[Nathalie],
An audiovisual attention model for natural conversation scenes,
ICIP14(1100-1104)
IEEE DOI 1502
Computational modeling BibRef

Wang, Q.[Quan], Zhang, X.C.[Xin-Chi], Wang, M.[Meng], Boyer, K.L.[Kim L.],
Learning Room Occupancy Patterns from Sparsely Recovered Light Transport Models,
ICPR14(1987-1992)
IEEE DOI 1412
Color BibRef

Tsai, G.[Grace], Johnson, C.[Collin], Kuipers, B.[Benjamin],
Semantic Visual Understanding of Indoor Environments: From Structures to Opportunities for Action,
Cognition14(373-380)
IEEE DOI 1409
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Conti, F.[Francesco], Pullini, A.[Antonio], Benini, L.[Luca],
Brain-Inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform,
ECVW14(624-629)
IEEE DOI 1409
brain-inspired computer vision BibRef

Navarathna, R.[Rajitha], Lucey, P.[Patrick], Carr, P.[Peter], Carter, E.[Elizabeth], Sridharan, S.[Sridha], Matthews, I.D.[Iain D.],
Predicting movie ratings from audience behaviors,
WACV14(1058-1065)
IEEE DOI 1406
Cameras BibRef

Kunze, K.[Kai],
Real-life Activity Recognition: Focus on Recognizing Reading Activities,
CBDAR13(179-185).
Springer DOI 1404
BibRef

Zhu, Y.K.[Yu-Kun], Zhu, J.[Jun], Zhang, R.[Rui],
A spindle model for contextual object detection,
ICIP13(2645-2649)
IEEE DOI 1402
object detection; pose-based model; spatial context; structural learning human-object interactions. BibRef

Bianco, S.[Simone], Ciocca, G.[Gianluigi],
Cooking Action Recognition with iVAT: An Interactive Video Annotation Tool,
CIAP13(II:631-641).
Springer DOI 1309
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Bogun, I.[Ivan], Ribeiro, E.[Eraldo],
Recognizing Human-Object Interactions Using Sparse Subspace Clustering,
CAIP13(409-416).
Springer DOI 1308
BibRef

Fukuhara, T.[Tomohiro], Tenmoku, R.[Ryuhei], Okuma, T.[Takashi], Takehara, M.[Masanori], Kurata, T.[Takeshi],
Measuring and evaluating real service operations with human-behavior sensing: A case study in a Japanese cuisine restaurant,
FCV13(113-116).
IEEE DOI 1304
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Nguyen, N.V.[Nhu Van], Ogier, J.M.[Jean-Marc], Charneau, F.[Franck],
PEDIVHANDI: Multimodal Indexation and Retrieval System for Lecture Videos,
ACCV12(II:382-393).
Springer DOI 1304
BibRef

Ardizzone, E.[Edoardo], Bruno, A.[Alessandro], Gallea, R.[Roberto], La Cascia, M.[Marco], Mazzola, G.[Giuseppe],
Toward an Integrated System for Surveillance and Behaviour Analysis of Groups and People,
SBA13(474-481).
Springer DOI 1309
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Gualdi, G.[Giovanni], Prati, A.[Andrea], Cucchiara, R.[Rita], Ardizzone, E.[Edoardo], La Cascia, M.[Marco], lo Presti, L.[Liliana], Morana, M.[Marco],
Enabling technologies on hybrid camera networks for behavioral analysis of unattended indoor environments and their surroundings,
VNBA08(101-108).
DOI Link 1208
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Pishchulin, L.[Leonid], Andriluka, M.[Mykhaylo], Schiele, B.[Bernt],
Fine-Grained Activity Recognition with Holistic and Pose Based Features,
GCPR14(678-689).
Springer DOI 1411
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Rohrbach, M.[Marcus], Amin, S.[Sikandar], Andriluka, M.[Mykhaylo], Schiele, B.[Bernt],
A database for fine grained activity detection of cooking activities,
CVPR12(1194-1201).
IEEE DOI 1208
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Watanabe, E.[Eiji], Ozeki, T.[Takashi], Kohama, T.[Takeshi],
Extraction of relations between behaviors by lecturer and students in lectures,
FG11(945-950).
IEEE DOI 1103
BibRef

Walczak, N.[Nicholas], Fasching, J.[Joshua], Toczyski, W.[William], Sivalingam, R.[Ravi], Bird, N.[Nathaniel], Cullen, K.[Kathryn], Morellas, V.[Vassilios], Murphy, B.[Barbara], Sapiro, G.[Guillermo], Papanikolopoulos, N.[Nikolaos],
A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors,
WACV12(217-222).
IEEE DOI 1203
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Sapp, B.[Benjamin], Chaudhry, R.[Rizwan], Yu, X.D.[Xiao-Dong], Singh, G.[Gautam], Perera, I.[Ian], Ferraro, F.[Francis], Tzoukermann, E.[Evelyne], Kosecka, J.[Jana], Neumann, J.[Jan],
Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues,
VECTaR11(1554-1561).
IEEE DOI 1201
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Munch, D.[David], Jsselmuiden, J.I.[Joris I.], Arens, M.[Michael], Stiefelhagen, R.[Rainer],
High-level situation recognition using Fuzzy Metric Temporal Logic, case studies in surveillance and smart environments,
ARTEMIS11(882-889).
IEEE DOI 1201
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Imran, A.S.[Ali Shariq], Cheikh, F.A.[Faouzi Alaya],
Blackboard content classification for lecture videos,
ICIP11(2989-2992).
IEEE DOI 1201
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Yu, T.[Ting], Yao, Y.[Yi], Gao, D.[Dashan], Tu, P.H.[Peter H.],
Learning to recognize people in a smart environment,
AVSBS11(379-384).
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Odashima, S.[Shigeyuki], Sato, T.[Tomomasa], Mori, T.[Taketoshi],
Learning from Mistakes: Object Movement Classification by the Boosted Features,
VECTaR10(318-327).
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Arsic, D.[Dejan], Lyutskanov, A.[Atanas], Kaiser, M.[Moritz], Schuller, B.[Bjorn], Rigoll, G.[Gerhard],
Applying Bayes Markov chains for the detection of ATM related scenarios,
WACV09(1-8).
IEEE DOI 0912
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Funahashi, T.[Takuma], Hoshino, T.[Takayuki], Tokuda, N.[Naoya], Fujiwara, T.[Takayuki], Koshimizu, H.[Hiroyasu],
Worker Behavior and Intension Modeling in Production Process,
MVA09(316-).
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Shimosaka, M.[Masamichi], Mori, T.[Taketoshi], Sato, T.[Tomomasa],
Robust indoor activity recognition via boosting,
ICPR08(1-4).
IEEE DOI 0812
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Detecting Human Activity Profiles with Dirichlet Enhanced Inhomogeneous Poisson Processes,
ICPR10(4384-4387).
IEEE DOI 1008
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Maki, K.[Kazuhiro], Katayama, N.[Noriaki], Shimada, N.[Nobutaka], Shirai, Y.[Yoshiaki],
Image-based automatic detection of indoor scene events and interactive inquiry,
ICPR08(1-4).
IEEE DOI 0812
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Lanz, O.[Oswald], Chippendale, P.[Paul], Brunelli, R.[Roberto],
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms,
MTPH07(xx-yy).
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Karuppiah, D.R., Zhu, Z., Shenoy, P., Riseman, E.M.,
A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room,
CVS01(201-219).
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Fuentes, L.M., Velastin, S.A.[Sergio A.],
People Tracking in Indoor Surveillance Applications,
PETS01(xx-yy). 0110
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Onishi, M., Izumi, M., Fukunaga, K.,
Blackboard Segmentation Using Video Image of Lecture and Its Applications,
ICPR00(Vol IV: 615-618).
IEEE DOI 0009
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Cm, Y., Samarasekera, S., Huarrg, Q., Greiffenhagen, M.,
Indoor Monitoring Via the Collaboration Between a Peripheral Sensor and a Foveal Sensor,
VS98(Monitoring and Surveillance of People). Foveal Sensor. BibRef 9800

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Action Recognition, Office, Meetings .


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