16.7.4.6.19 Human Action Recognition, Indoor Environments, Office, Classroom, Smart Room

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

Edinburgh office monitoring video dataset,
2021.
WWW Link. Dataset, Office Monitor. 2103
This dataset consists of video, image frames, and ground truth for 20 days of monitoring people in 4 different offices. The data is acquired using a fixed camera as a set of 1280*720 pixel color images captured at an average of about 1 FPS. This dataset is interesting because there are about 450K labeled frames of people doing standard office activities. The ground truth is the position of each person in each image with a bounding box, plus their behavior. Four behaviors are annotated (standing/walking, sitting, two or three people are talking, or the person in room has fallen). Paper to appear CVPR21.

Ayers, D.[Douglas], Shah, M.[Mubarak],
Monitoring human behavior from video taken in an office environment,
IVC(19), No. 12, October 2001, pp. 833-846.
Elsevier DOI 0110
BibRef
Earlier:
Scenario Recognition from Video Using a Hierarchy of Dynamic Belief Networks,
ICPR00(Vol I: 835-838).
IEEE DOI 0009
BibRef
Earlier:
Recognizing Human Actions in a Static Room,
WACV98(42-47).
IEEE DOI 9809
indoor BibRef

Shah, M.[Mubarak],
Understanding human behavior from motion imagery,
MVA(14), No. 4, September 2003, pp. 210-214.
Springer DOI 0309
BibRef

Shah, M.[Mubarak],
Recognizing human actions,
VSSN05(1-2).
WWW Link. 0511
BibRef

Tao, J.[Ji], Tan, Y.P.[Yap-Peng],
A probabilistic approach to incorporating domain knowledge for closed-room people monitoring,
SP:IC(19), No. 10, December 2004, pp. 959-974.
Elsevier DOI 0501
BibRef
Earlier:
People monitoring using face recognition with observation constraints,
ICIP04(III: 1437-1440).
IEEE DOI 0505
BibRef

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.
WWW Link. 0603
BibRef
Earlier:
Human action segmentation via controlled use of missing data in HMMs,
ICPR04(IV: 440-445).
IEEE DOI 0409
BibRef

Peursum, P.[Patrick], Venkatesh, S.[Svetha], West, G.A.W.[Geoff A.W.],
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking,
IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI 1001
BibRef
Earlier:
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects,
ICPR06(IV: 929-934).
IEEE DOI 0609
BibRef
Earlier: A1, A3, A2:
Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views,
ICCV05(I: 82-89).
IEEE DOI 0510
BibRef

Lu, Y.[Yao], Li, L.[Ling], Peursum, P.,
Background Suppression for Building Accurate Appearance Models in Human Motion Tracking,
DICTA12(1-6).
IEEE DOI 1303
BibRef

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
BibRef

McCowan, I.[Iain], Gatica-Perez, D.[Daniel], Bengio, S.[Samy], Lathoud, G.[Guillaume], Barnard, M., Zhang, D.[Dong],
Automatic Analysis of Multimodal Group Actions in Meetings,
PAMI(27), No. 3, March 2005, pp. 305-317.
IEEE Abstract. 0501
Group actions result from interactions of individuals. Visual in addition to audio analysis.
See also Audio-visual speaker tracking with importance particle filters.
See also Automatic nonverbal analysis of social interaction in small groups: A review. BibRef

Zhang, D.[Dong], Gatica-Perez, D.[Daniel], Bengio, S.[Samy], McCowan, I.[Iain], Lathoud, G.[Guillaume],
Modeling Individual and Group Actions in Meetings: A Two-Layer HMM Framework,
EventVideo04(117).
IEEE DOI 0502
BibRef

Gatica-Perez, D., McCowan, L., Barnard, M., Bengio, S., Bourlard, H.,
On automatic annotation of meeting databases,
ICIP03(III: 629-632).
IEEE DOI 0312
BibRef

Zhang, D.[Dong], Gatica-Perez, D.[Daniel], Bengio, S.[Samy], McCowan, I.[Iain],
Semi-Supervised Adapted HMMs for Unusual Event Detection,
CVPR05(I: 611-618).
IEEE DOI 0507
BibRef

Nait-Charif, H.[Hammadi], McKenna, S.J.[Stephen J.],
Tracking the activity of participants in a meeting,
MVA(17), No. 2, May 2006, pp. 83-93.
Springer DOI
PDF File. 0605
BibRef

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
BibRef
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
BibRef

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
BibRef

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
BibRef

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
BibRef

Popescu-Belis, A.[Andrei], Lalanne, D.[Denis], Bourlard, H.[Herve],
Finding Information in Multimedia Meeting Records,
MultMedMag(19), No. 1, January-March 2012, pp. 48-57.
IEEE DOI 1202
BibRef

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
BibRef

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
BibRef

Lepri, B.[Bruno], Subramanian, R.[Ramanathan], Kalimeri, K.[Kyriaki], Staiano, J.[Jacopo], Pianesi, F.[Fabio], Sebe, N.[Nicu],
Connecting Meeting Behavior with Extraversion: A Systematic Study,
AffCom(3), No. 4 2012, pp. 443-455.
IEEE DOI 1302
BibRef

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

Si, Z.Z.[Zhang-Zhang], Zhu, S.C.[Song-Chun],
Learning AND-OR Templates for Object Recognition and Detection,
PAMI(35), No. 9, 2013, pp. 2189-2205.
IEEE DOI 1307
BibRef
Earlier:
Unsupervised learning of stochastic AND-OR templates for object modeling,
SIG11(648-655).
IEEE DOI 1201

See also Learning mixed templates for object recognition.
See also Learning Hybrid Image Templates (HIT) by Information Projection. Animals BibRef

Pei, M.T.[Ming-Tao], Si, Z.Z.[Zhang-Zhang], Yao, B.Z.[Benjamin Z.], Zhu, S.C.[Song-Chun],
Learning and parsing video events with goal and intent prediction,
CVIU(117), No. 10, 2013, pp. 1369-1383.
Elsevier DOI 1309
Temporal And-Or Graph (T-AOG) BibRef

Pei, M.T.[Ming-Tao], Jia, Y.D.[Yun-De], Zhu, S.C.[Song-Chun],
Parsing video events with goal inference and intent prediction,
ICCV11(487-494).
IEEE DOI 1201
BibRef

Si, Z.Z.[Zhang-Zhang], Pei, M.T.[Ming-Tao], Yao, B.[Benjamin], Zhu, S.C.[Song-Chun],
Unsupervised learning of event AND-OR grammar and semantics from video,
ICCV11(41-48).
IEEE DOI 1201
Office scenes.
See also Learning explicit and implicit visual manifolds by information projection.
See also Learning Hybrid Image Templates (HIT) by Information Projection.
See also Learning mixed templates for object recognition. 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
BibRef

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

Park, H., Park, J., Kim, H., Jun, J., Son, S.H.[S. Hyuk], Park, T., Ko, J.,
ReLiSCE: Utilizing Resource-Limited Sensors for Office Activity Context Extraction,
SMCS(45), No. 8, August 2015, pp. 1151-1164.
IEEE DOI 1506
Acoustics 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
BibRef

Yokoyama, H.[Hitomi], Nakayama, M.[Masano], Murata, H.[Hiroaki], Fujita, K.[Kinya],
Development of Acoustic Nonverbal Information Estimation System for Unconstrained Long-Term Monitoring of Daily Office Activity,
IEICE(E102-D), No. 2, February 2019, pp. 331-345.
WWW Link. 1902
BibRef

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., Kiliç, V., Guan, J., Wang, W.,
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

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
BibRef

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
BibRef

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
BibRef

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
BibRef


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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

Bhattacharya, I., Eshed, N., Radke, R.J.,
Privacy-Preserving Understanding of Human Body Orientation for Smart Meetings,
PBVS17(284-292)
IEEE DOI 1709
Cameras, Estimation, Microphones, Sensor arrays, Speech, Training 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

Brena, R.F.[Ramon F.], Nava, A.[Armando],
Activity Recognition in Meetings with One and Two Kinect Sensors,
MCPR16(219-228).
Springer DOI 1608
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Imran, A.S.[Ali Shariq], Cheikh, F.A.[Faouzi Alaya],
Blackboard content classification for lecture videos,
ICIP11(2989-2992).
IEEE DOI 1201
BibRef

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).
IEEE DOI 1111
BibRef

Odashima, S.[Shigeyuki], Sato, T.[Tomomasa], Mori, T.[Taketoshi],
Learning from Mistakes: Object Movement Classification by the Boosted Features,
VECTaR10(318-327).
Springer DOI 1109
BibRef

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
BibRef

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-).
PDF File. 0905
BibRef

Shivappa, S.T.[Shankar T.], Trivedi, M.M.[Mohan M.], Rao, B.D.[Bhaskar D.],
Hierarchical audio-visual cue integration framework for activity analysis in intelligent meeting rooms,
VCL-ViSU09(107-114).
IEEE DOI 0906
BibRef

Shimosaka, M.[Masamichi], Mori, T.[Taketoshi], Sato, T.[Tomomasa],
Robust indoor activity recognition via boosting,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Shimosaka, M.[Masamichi], Ishino, T.[Takahito], Noguchi, H.[Hiroshi], Sato, T.[Tomomasa], Mori, T.[Taketoshi],
Detecting Human Activity Profiles with Dirichlet Enhanced Inhomogeneous Poisson Processes,
ICPR10(4384-4387).
IEEE DOI 1008
BibRef

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
BibRef

Lanz, O.[Oswald], Chippendale, P.[Paul], Brunelli, R.[Roberto],
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Al-Hames, M.[Marc], Lenz, C.[Claus], Reiter, S.[Stephan], Schenk, J.[Joachim], Wallhoff, F.[Frank], Rigoll, G.[Gerhard],
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model,
ICIP07(II: 213-216).
IEEE DOI 0709

See also Submotions for Hidden Markov Model Based Dynamic Facial Action Recognition. BibRef

Al-Hames, M., Rigoll, G.,
A Multi-Modal Graphical Model for Robust Recognition of Group Actions in Meetings from Disturbed Videos,
ICIP05(III: 421-424).
IEEE DOI 0512
BibRef

Wallhqff, F., Zobl, M., Rigoll, G.,
Action segmentation and recognition in meeting room scenarios,
ICIP04(IV: 2223-2226).
IEEE DOI 0505
BibRef

Zobl, M., Laika, A., Wallhoff, F., Rigoll, G.,
Recognition of partly occluded person actions in meeting scenarios,
ICIP04(I: 333-336).
IEEE DOI 0505
BibRef

Bauckhage, C., Hanheide, M., Wrede, S., Sagerer, G.,
A cognitive vision system for action recognition in office environments,
CVPR04(II: 827-833).
IEEE DOI 0408
indoor BibRef

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).
Springer DOI 0106
BibRef

Fuentes, L.M., Velastin, S.A.[Sergio A.],
People Tracking in Indoor Surveillance Applications,
PETS01(xx-yy). 0110
BibRef

Onishi, M., Izumi, M., Fukunaga, K.,
Blackboard Segmentation Using Video Image of Lecture and Its Applications,
ICPR00(Vol IV: 615-618).
IEEE DOI 0009
BibRef

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 -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Activity Recognition, Human Behaviors .


Last update:Nov 30, 2023 at 15:51:27