Germa, T.,
Lerasle, F.,
Ouadah, N.,
Cadenat, V.,
Vision and RFID data fusion for tracking people in crowds by a mobile
robot,
CVIU(114), No. 6, June 2010, pp. 641-651.
Elsevier DOI
1006
Radio frequency ID; Multimodal data fusion; Particle filtering; Person
tracking; Person following; Multi-sensor fusion; Human visual servoing
BibRef
Duan, G.Q.[Gen-Quan],
Ai, H.Z.[Hai-Zhou],
Xing, J.L.[Jun-Liang],
Cao, S.[Song],
Lao, S.H.[Shi-Hong],
Scene Aware Detection and Block Assignment Tracking in crowded scenes,
IVC(30), No. 4-5, May 2012, pp. 292-305.
Elsevier DOI
1206
Visual surveillance; Object detection; Object tracking; Particle
filter
BibRef
Zhou, B.Y.[Bing-Yin],
Zhang, F.[Fan],
Peng, L.Z.[Li-Zhong],
Higher-order SVD analysis for crowd density estimation,
CVIU(116), No. 9, September 2012, pp. 1014-1021.
Elsevier DOI
1208
Crowd density estimation; Tensor; HOSVD; SVM
BibRef
Wu, S.,
Wong, H.S.,
Crowd Motion Partitioning in a Scattered Motion Field,
SMC-B(42), No. 5, October 2012, pp. 1443-1454.
IEEE DOI
1209
Local motion approximation. Optical flow at some points,
Not really individual tracking, more crowd flow.
BibRef
Thalmann, D.[Daniel],
Musse, S.R.[Soraia Raupp],
Crowd Simulation,
Springer2013.
ISBN 978-1-4471-4449-6
|
|
Ali, I.[Irshad],
Dailey, M.N.[Matthew N.],
Multiple Human Tracking in High-Density Crowds,
IVC(30), No. 12, December 2012, pp. 966-977.
Elsevier DOI
1212
BibRef
Earlier:
ACIVS09(540-549).
Springer DOI
0909
Head detection; Pedestrian tracking; Crowd tracking; Particle filters;
3D object tracking; 3D head plane estimation; Human detection;
Least-squares plane estimation; AdaBoost detection cascade
BibRef
Shao, J.[Jie],
Dong, N.[Nan],
Tong, M.[Minglei],
Multi-part sparse representation in random crowded scenes tracking,
PRL(34), No. 7, 1 May 2013, pp. 780-788.
Elsevier DOI
1303
Visual tracking; Multi-part sparse representation; Crowded scenes;
Particle filter
BibRef
Lv, W.,
Song, W.,
Ma, J.,
Fang, Z.,
A Two-Dimensional Optimal Velocity Model for Unidirectional
Pedestrian Flow Based on Pedestrian's Visual Hindrance Field,
ITS(14), No. 4, 2013, pp. 1753-1763.
IEEE DOI
1312
Data models
BibRef
Curtis, S.[Sean],
Zafar, B.[Basim],
Gutub, A.[Adnan],
Manocha, D.[Dinesh],
Right of way,
VC(29), No. 12, December 2013, pp. 1277-1292.
Springer DOI
1312
Pedestrian motion analysis.
BibRef
Brscic, D.,
Kanda, T.,
Changes in Usage of an Indoor Public Space:
Analysis of One Year of Person Tracking,
HMS(45), No. 2, April 2015, pp. 228-237.
IEEE DOI
1503
Cameras
BibRef
Ali, S.,
Nishino, K.,
Manocha, D.,
Shah, M., (Eds.)
Modeling, Simulation and Visual Analysis of Crowds:
A Multidisciplinary Perspective,
 
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Idrees, H.[Haroon],
Warner, N.[Nolan],
Shah, M.[Mubarak],
Tracking in dense crowds using prominence and neighborhood motion
concurrence,
IVC(32), No. 1, 2014, pp. 14-26.
Elsevier DOI
1402
Crowd analysis
BibRef
Idrees, H.[Haroon],
Soomro, K.,
Shah, M.[Mubarak],
Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior
and Global Occlusion Reasoning,
PAMI(37), No. 10, October 2015, pp. 1986-1998.
IEEE DOI
1509
Cognition
BibRef
Zhou, B.[Bolei],
Tang, X.[Xiaoou],
Zhang, H.,
Wang, X.G.[Xiao-Gang],
Measuring Crowd Collectiveness,
PAMI(36), No. 8, August 2014, pp. 1586-1599.
IEEE DOI
1407
BibRef
Earlier: A1, A2, A4, Only:
Measuring Crowd Collectiveness,
CVPR13(3049-3056)
IEEE DOI
1309
BibRef
Earlier: A1, A2, A4, Only:
Coherent Filtering: Detecting Coherent Motions from Crowd Clutters,
ECCV12(II: 857-871).
Springer DOI
1210
Collective Motion; Crowd Behavior; Video Analysis
Computational modeling.
BibRef
Zhou, B.[Bolei],
Tang, X.[Xiaoou],
Wang, X.G.[Xiao-Gang],
Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents,
IJCV(111), No. 1, January 2015, pp. 50-68.
WWW Link.
1502
BibRef
Earlier: A1, A3, A2:
Understanding collective crowd behaviors:
Learning a Mixture model of Dynamic pedestrian-Agents,
CVPR12(2871-2878).
IEEE DOI
1208
BibRef
Fradi, H.[Hajer],
Eiselein, V.[Volker],
Dugelay, J.L.[Jean-Luc],
Keller, I.[Ivo],
Sikora, T.[Thomas],
Spatio-temporal crowd density model in a human detection and tracking
framework,
SP:IC(31), No. 1, 2015, pp. 100-111.
Elsevier DOI
1502
BibRef
Earlier: A2, A1, A4, A5, A3:
Enhancing human detection using crowd density measures and an
adaptive correction filter,
AVSS13(19-24)
IEEE DOI
1311
Crowd density.
adaptive filters
BibRef
Senst, T.[Tobias],
Eiselein, V.[Volker],
Keller, I.[Ivo],
Sikora, T.[Thomas],
Crowd analysis in non-static cameras using feature tracking and
multi-person density,
ICIP14(6041-6045)
IEEE DOI
1502
Cameras
BibRef
Jin, Z.X.[Zhi-Xing],
Bhanu, B.[Bir],
Analysis-by-synthesis: Pedestrian tracking with crowd simulation
models in a multi-camera video network,
CVIU(134), No. 1, 2015, pp. 48-63.
Elsevier DOI
1504
BibRef
Earlier:
Optimizing crowd simulation based on real video data,
ICIP13(3186-3190)
IEEE DOI
1402
BibRef
Earlier:
Single camera multi-person tracking based on crowd simulation,
ICPR12(3660-3663).
WWW Link.
1302
Crowd simulation.
Pedestrian tracking
BibRef
Rojas, F.[Francisco],
Tarnogol, F.[Fernando],
Yang, H.S.[Hyun S.],
Dynamic social formations of pedestrian groups navigating and using
public transportation in a virtual city,
VC(32), No. 3, March 2016, pp. 335-345.
WWW Link.
1604
BibRef
Ortego, D.[Diego],
San Miguel, J.C.[Juan C.],
Martínez, J.M.[José M.],
Rejection based multipath reconstruction for background estimation in
video sequences with stationary objects,
CVIU(147), No. 1, 2016, pp. 23-37.
Elsevier DOI
1605
BibRef
Earlier: A1, A2, Only:
Multi-feature stationary foreground detection for crowded
video-surveillance,
ICIP14(2403-2407)
IEEE DOI
1502
Background estimation.
Adaptation models
See also semantic-guided and self-configurable framework for video analysis, A.
BibRef
Ma, Z.[Zheng],
Chan, A.B.[Antoni B.],
Counting People Crossing a Line Using Integer Programming and Local
Features,
CirSysVideo(26), No. 10, October 2016, pp. 1955-1969.
IEEE DOI
1610
BibRef
Earlier:
Crossing the Line:
Crowd Counting by Integer Programming with Local Features,
CVPR13(2539-2546)
IEEE DOI
1309
Cameras.
crowd counting; integer programming; local feature; regression
BibRef
Feng, P.,
Wang, W.,
Naqvi, S.M.,
Chambers, J.,
Adaptive Retrodiction Particle PHD Filter for Multiple Human Tracking,
SPLetters(23), No. 11, November 2016, pp. 1592-1596.
IEEE DOI
1609
Gaussian processes
BibRef
Feng, P.,
Wang, W.,
Dlay, S.,
Naqvi, S.M.,
Chambers, J.,
Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple
Human Tracking,
MultMed(19), No. 4, April 2017, pp. 725-739.
IEEE DOI
1704
Atmospheric measurements
BibRef
Yang, M.[Min],
Jia, Y.D.[Yun-De],
Temporal dynamic appearance modeling for online multi-person tracking,
CVIU(153), No. 1, 2016, pp. 16-28.
Elsevier DOI
1612
Online multi-person tracking
BibRef
Mazimpaka, J.D.[Jean Damascène],
Timpf, S.[Sabine],
How They Move Reveals What Is Happening: Understanding the Dynamics
of Big Events from Human Mobility Pattern,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Yoo, H.,
Kim, K.[Kikyung],
Byeon, M.[Moonsub],
Jeon, Y.,
Choi, J.Y.[Jin Young],
Online Scheme for Multiple Camera Multiple Target Tracking Based on
Multiple Hypothesis Tracking,
CirSysVideo(27), No. 3, March 2017, pp. 454-469.
IEEE DOI
1703
Cameras
BibRef
Kim, S.W.[Soo Wan],
Byeon, M.[Moonsub],
Kim, K.[Kikyung],
Choi, J.Y.[Jin Young],
MAP-Based Online Data Association for Multiple People Tracking in
Crowded Scenes,
ICPR14(1212-1217)
IEEE DOI
1412
Computational modeling
BibRef
Ju, J.[Jaeyong],
Kim, D.[Daehun],
Ku, B.[Bonhwa],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Online multi-object tracking with efficient track drift and
fragmentation handling,
JOSA-A(34), No. 2, February 2017, pp. 280-293.
DOI Link
1702
Digital image processing
BibRef
Ju, J.[Jaeyong],
Kim, D.[Daehun],
Ku, B.[Bonhwa],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
Online multi-person tracking with two-stage data association and online
appearance model learning,
IET-CV(11), No. 1, February 2017, pp. 87-95.
DOI Link
1703
BibRef
Kok, V.J.,
Chan, C.S.,
GrCS: Granular Computing-Based Crowd Segmentation,
Cyber(47), No. 5, May 2017, pp. 1157-1168.
IEEE DOI
1704
Context
BibRef
Takada, H.,
Hotta, K.,
Janney, P.,
Human tracking in crowded scenes using target information at previous
frames,
ICPR16(1809-1814)
IEEE DOI
1705
Adaptation models, Color, Computational modeling,
Image color analysis, Mathematical model, Target tracking,
crowded scenes, distractors, human tracking,
information at previous frames, occlusion
BibRef
Yoo, Y.,
Yun, K.,
Yun, S.,
Hong, J.,
Jeong, H.,
Choi, J.Y.,
Visual Path Prediction in Complex Scenes with Crowded Moving Objects,
CVPR16(2668-2677)
IEEE DOI
1612
BibRef
Stewart, R.,
Andriluka, M.,
Ng, A.Y.,
End-to-End People Detection in Crowded Scenes,
CVPR16(2325-2333)
IEEE DOI
1612
BibRef
Yu, H.,
Zhou, Y.,
Simmons, J.,
Przybyla, C.P.,
Lin, Y.,
Fan, X.,
Mi, Y.,
Wang, S.,
Groupwise Tracking of Crowded Similar-Appearance Targets from
Low-Continuity Image Sequences,
CVPR16(952-960)
IEEE DOI
1612
BibRef
Alahi, A.[Alexandre],
Goel, K.,
Ramanathan, V.[Vignesh],
Robicquet, A.,
Fei-Fei, L.[Li],
Savarese, S.,
Social LSTM: Human Trajectory Prediction in Crowded Spaces,
CVPR16(961-971)
IEEE DOI
1612
BibRef
Alahi, A.[Alexandre],
Ramanathan, V.[Vignesh],
Fei-Fei, L.[Li],
Socially-Aware Large-Scale Crowd Forecasting,
CVPR14(2211-2218)
IEEE DOI
1409
crowd; detection; forecasting; od matrix; pedestrian; tracking
BibRef
Assari, S.M.[Shayan Modiri],
Idrees, H.[Haroon],
Shah, M.[Mubarak],
Human Re-identification in Crowd Videos Using Personal, Social and
Environmental Constraints,
ECCV16(II: 119-136).
Springer DOI
1611
BibRef
Babaee, M.[Mohammadreza],
You, Y.[Yue],
Rigoll, G.[Gerhard],
Pixel Level Tracking of Multiple Targets in Crowded Environments,
Crowd16(II: 692-708).
Springer DOI
1611
BibRef
Yun, S.[Sangdoo],
Yun, K.[Kimin],
Choi, J.W.[Jong-Won],
Choi, J.Y.[Jin Young],
Density-Aware Pedestrian Proposal Networks for Robust People Detection
in Crowded Scenes,
Crowd16(II: 643-654).
Springer DOI
1611
BibRef
Kieritz, H.[Hilke],
Becker, S.[Stefan],
Hübner, W.[Wolfgang],
Arens, M.[Michael],
Online multi-person tracking using Integral Channel Features,
AVSS16(122-130)
IEEE DOI
1611
Benchmark testing
BibRef
Yoon, S.[Sejong],
Kapadia, M.[Mubbasir],
Sahu, P.[Pritish],
Pavlovic, V.[Vladimir],
Filling in the blanks: reconstructing microscopic crowd motion from
multiple disparate noisy sensors,
CVAST16(1-9)
IEEE DOI
1606
image denoising. Individuals in a crowd.
BibRef
Liu, J.,
Fan, Q.,
Pankanti, S.,
Metaxas, D.N.,
People detection in crowded scenes by context-driven label
propagation,
WACV16(1-9)
IEEE DOI
1606
Context
BibRef
Takada, H.,
Hotta, K.,
Robust Human Tracking to Occlusion in Crowded Scenes,
DICTA15(1-8)
IEEE DOI
1603
learning (artificial intelligence)
BibRef
Yi, S.,
Li, H.,
Wang, X.,
Pedestrian Travel Time Estimation in Crowded Scenes,
ICCV15(3137-3145)
IEEE DOI
1602
Computer vision
BibRef
Bastani, V.[Vahid],
Marcenaro, L.[Lucio],
Regazzoni, C.S.[Carlo S.],
A particle filter based sequential trajectory classifier for behavior
analysis in video surveillance,
ICIP15(3690-3694)
IEEE DOI
1512
Behavior Analysis; On-line Trajectory Classification; Video Surveillance
BibRef
Bastani, V.,
Campo, D.,
Marcenaro, L.,
Regazzoni, C.S.,
Online pedestrian group walking event detection using spectral
analysis of motion similarity graph,
AVSS15(1-5)
IEEE DOI
1511
gait analysis
BibRef
Setia, A.[Achint],
Mittal, A.[Anurag],
Co-operative Pedestrians Group Tracking in Crowded Scenes Using an
MST Approach,
WACV15(102-108)
IEEE DOI
1503
Clustering algorithms
BibRef
Biswas, S.[Sovan],
Praveen, R.G.[R. Gnana],
Babu, R.V.[R. Venkatesh],
Super-pixel based crowd flow segmentation in H.264 compressed videos,
ICIP14(2319-2323)
IEEE DOI
1502
Computer vision
BibRef
Fradi, H.[Hajer],
Dugelay, J.L.[Jean-Luc],
Sparse Feature Tracking for Crowd Change Detection and Event
Recognition,
ICPR14(4116-4121)
IEEE DOI
1412
Feature extraction
BibRef
Zhu, F.[Feng],
Wang, X.G.[Xiao-Gang],
Yu, N.H.[Neng-Hai],
Crowd Tracking with Dynamic Evolution of Group Structures,
ECCV14(VI: 139-154).
Springer DOI
1408
BibRef
Creusot, C.[Clement],
Local Segmentation for Pedestrian Tracking in Dense Crowds,
MMMod14(I: 266-277).
Springer DOI
1405
See also Ground Truth for Pedestrian Analysis and Application to Camera Calibration.
BibRef
Tang, S.[Siyu],
Andriluka, M.[Mykhaylo],
Milan, A.[Anton],
Schindler, K.[Konrad],
Roth, S.[Stefan],
Schiele, B.[Bernt],
Learning People Detectors for Tracking in Crowded Scenes,
ICCV13(1049-1056)
IEEE DOI
1403
Multiple People Tracking
BibRef
Pishchulin, L.[Leonid],
Jain, A.[Arjun],
Wojek, C.[Christian],
Andriluka, M.[Mykhaylo],
Thormahlen, T.[Thorsten],
Schiele, B.[Bernt],
Learning people detection models from few training samples,
CVPR11(1473-1480).
IEEE DOI
1106
BibRef
Luo, W.[Wenhan],
Kim, T.K.[Tae-Kyun],
Generic Object Crowd Tracking by Multi-Task Learning,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Ullah, H.[Habib],
Conci, N.[Nicola],
Structured learning for crowd motion segmentation,
ICIP13(824-828)
IEEE DOI
1402
Feature extraction
BibRef
Chen, K.[Ke],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
Loy, C.C.[Chen Change],
Cumulative Attribute Space for Age and Crowd Density Estimation,
CVPR13(2467-2474)
IEEE DOI
1309
Age estimation; Crowd density estimation; Cumulative attributes
BibRef
Idrees, H.[Haroon],
Saleemi, I.[Imran],
Seibert, C.[Cody],
Shah, M.[Mubarak],
Multi-source Multi-scale Counting in Extremely Dense Crowd Images,
CVPR13(2547-2554)
IEEE DOI
1309
Counting; Dense Crowds; Markov Random Field; Multi-scale Analysis
BibRef
Li, C.[Chi],
Lu, L.[Le],
Hager, G.D.[Gregory D.],
Tang, J.Y.[Jian-Yu],
Wang, H.Z.[Han-Zi],
Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo
Depth,
ACCV12(III:71-85).
Springer DOI
1304
BibRef
Iwasaki, M.[Masahiro],
Komoto, A.[Ayako],
Nobori, K.[Kunio],
Dense motion segmentation of articulated objects in crowds,
ICPR12(861-865).
WWW Link.
1302
BibRef
Fu, H.Y.[Hui-Yuan],
Ma, H.D.[Hua-Dong],
Xiao, H.T.[Hong-Tian],
Real-time accurate crowd counting based on RGB-D information,
ICIP12(2685-2688).
IEEE DOI
1302
BibRef
Yogameena, B.,
Perumal, S.S.[S. Saravana],
Packiyaraj, N.,
Saravanan, P.,
Ma-Th algorithm for people count in a dense crowd and their behaviour
classification,
IMVIP12(17-20).
IEEE DOI
1302
BibRef
Pellegrini, S.[Stefano],
Gall, J.[Jürgen],
Sigal, L.[Leonid],
Van Gool, L.J.[Luc J.],
Destination Flow for Crowd Simulation,
ARTEMIS12(III: 162-171).
Springer DOI
1210
BibRef
Kratz, L.[Louis],
Nishino, K.[Ko],
Going with the Flow: Pedestrian Efficiency in Crowded Scenes,
ECCV12(IV: 558-572).
Springer DOI
1210
BibRef
Yan, J.J.[Jun-Jie],
Lei, Z.[Zhen],
Yi, D.[Dong],
Li, S.Z.[Stan Z.],
Multi-pedestrian detection in crowded scenes: A global view,
CVPR12(3124-3129).
IEEE DOI
1208
BibRef
Ali, I.,
Dailey, M.N.,
Head plane estimation improves the accuracy of pedestrian tracking in
dense crowds,
ICARCV10(2054-2059).
IEEE DOI
1109
BibRef
Martin, R.[Rhys],
Arandjelovic, O.[Ognjen],
Multiple-object Tracking in Cluttered and Crowded Public Spaces,
ISVC10(III: 89-98).
Springer DOI
1011
BibRef
Sugimura, D.[Daisuke],
Kitani, K.M.[Kris M.],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Sugimoto, A.[Akihiro],
Using individuality to track individuals: Clustering individual
trajectories in crowds using local appearance and frequency trait,
ICCV09(1467-1474).
IEEE DOI
0909
BibRef
Hinz, S.,
Density and Motion Estimation of People in Crowded Environments based
on Aerial Image Sequences,
HighRes09(xx-yy).
PDF File.
0906
BibRef
Zhang, Z.[Zui],
Gunes, H.[Hatice],
Piccardi, M.[Massimo],
Tracking People in Crowds by a Part Matching Approach,
AVSBS08(88-95).
IEEE DOI
0809
See also Commentary Paper 2 on Tracking People in Crowds by a Part Matching Approach.
See also Commentary Paper for: Tracking People in Crowds by a Part Matching Approach.
BibRef
Moeslund, T.B.[Thomas B.],
Commentary Paper for: 'Tracking People in Crowds by a Part Matching
Approach',
AVSBS08(96-97).
IEEE DOI
0809
See also Tracking People in Crowds by a Part Matching Approach.
BibRef
Lipton, A.J.[Alan J.],
Commentary Paper 2 on 'Tracking People in Crowds by a Part Matching
Approach',
AVSBS08(98-98).
IEEE DOI
0809
See also Tracking People in Crowds by a Part Matching Approach.
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking Several People, Occlusions .