Research Publications - Crowd Modelling

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Individuals in a crowd interact intrinsically with each other. We model such interaction to better predict their movement trajectories, synthesise crowd behaviour, and identify anomalies.

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Citations 30+

Environment-Aware Real-Time Crowd Control
Environment-Aware Real-Time Crowd Control Citation: 32#
Proceedings of the 2012 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2012
Joseph Henry, Hubert P. H. Shum and Taku Komura
Webpage Cite This Plain Text
Joseph Henry, Hubert P. H. Shum and Taku Komura, "Environment-Aware Real-Time Crowd Control," in SCA '12: Proceedings of the 2012 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 193-200, Lausanne, Switzerland, Eurographics Association, Jul 2012.
Bibtex
@inproceedings{henry12environment,
 author={Henry, Joseph and Shum, Hubert P. H. and Komura, Taku},
 booktitle={Proceedings of the 2012 ACM SIGGRAPH/Eurographics Symposium on Computer Animation},
 series={SCA '12},
 title={Environment-Aware Real-Time Crowd Control},
 year={2012},
 month={7},
 pages={193--200},
 numpages={8},
 isbn={978-3-905674-37-8},
 publisher={Eurographics Association},
 Address={Aire-la-Ville, Switzerland},
 location={Lausanne, Switzerland},
}
RIS
TY  - CONF
AU  - Henry, Joseph
AU  - Shum, Hubert P. H.
AU  - Komura, Taku
T2  - Proceedings of the 2012 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
TI  - Environment-Aware Real-Time Crowd Control
PY  - 2012
Y1  - 7 2012
SP  - 193
EP  - 200
SN  - 978-3-905674-37-8
PB  - Eurographics Association
ER  - 
Paper YouTube
Coordinated Crowd Simulation with Topological Scene Analysis
Coordinated Crowd Simulation with Topological Scene Analysis Impact Factor: 2.7Citation: 31#
Computer Graphics Forum (CGF), 2016
Adam Barnett, Hubert P. H. Shum and Taku Komura
Webpage Cite This Plain Text
Adam Barnett, Hubert P. H. Shum and Taku Komura, "Coordinated Crowd Simulation with Topological Scene Analysis," Computer Graphics Forum, vol. 35, no. 6, pp. 120-132, John Wiley and Sons Ltd., 2016.
Bibtex
@article{barnett16coordinated,
 author={Barnett, Adam and Shum, Hubert P. H. and Komura, Taku},
 journal={Computer Graphics Forum},
 series={CGF '24},
 title={Coordinated Crowd Simulation with Topological Scene Analysis},
 year={2016},
 volume={35},
 number={6},
 pages={120--132},
 numpages={13},
 doi={10.1111/cgf.12735},
 issn={1467-8659},
 publisher={John Wiley and Sons Ltd.},
 Address={Chichester, UK},
}
RIS
TY  - JOUR
AU  - Barnett, Adam
AU  - Shum, Hubert P. H.
AU  - Komura, Taku
T2  - Computer Graphics Forum
TI  - Coordinated Crowd Simulation with Topological Scene Analysis
PY  - 2016
VL  - 35
IS  - 6
SP  - 120
EP  - 132
DO  - 10.1111/cgf.12735
SN  - 1467-8659
PB  - John Wiley and Sons Ltd.
ER  - 
Paper YouTube
Interactive Formation Control in Complex Environments
Interactive Formation Control in Complex Environments REF 2021 Submitted OutputImpact Factor: 4.7Top 25% Journal in Computer Science, Software EngineeringCitation: 30#
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2014
Joseph Henry, Hubert P. H. Shum and Taku Komura
Webpage Cite This Plain Text
Joseph Henry, Hubert P. H. Shum and Taku Komura, "Interactive Formation Control in Complex Environments," IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 2, pp. 211-222, IEEE, Feb 2014.
Bibtex
@article{henry14interactive,
 author={Henry, Joseph and Shum, Hubert P. H. and Komura, Taku},
 journal={IEEE Transactions on Visualization and Computer Graphics},
 series={TVCG '24},
 title={Interactive Formation Control in Complex Environments},
 year={2014},
 month={2},
 volume={20},
 number={2},
 pages={211--222},
 numpages={12},
 doi={10.1109/TVCG.2013.116},
 issn={1077-2626},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Henry, Joseph
AU  - Shum, Hubert P. H.
AU  - Komura, Taku
T2  - IEEE Transactions on Visualization and Computer Graphics
TI  - Interactive Formation Control in Complex Environments
PY  - 2014
Y1  - 2 2014
VL  - 20
IS  - 2
SP  - 211
EP  - 222
DO  - 10.1109/TVCG.2013.116
SN  - 1077-2626
PB  - IEEE
ER  - 
Paper YouTube

Citations 20+

Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction
Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction Citation: 20#
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021
Ben Rainbow, Qianhui Men and Hubert P. H. Shum
Webpage Cite This Plain Text
Ben Rainbow, Qianhui Men and Hubert P. H. Shum, "Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction," in SMC '21: Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2959-2966, Melbourne, Australia, IEEE, Oct 2021.
Bibtex
@inproceedings{rainbow21semantics,
 author={Rainbow, Ben and Men, Qianhui and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics},
 series={SMC '21},
 title={Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction},
 year={2021},
 month={10},
 pages={2959--2966},
 numpages={8},
 doi={10.1109/SMC52423.2021.9658781},
 issn={2959-2966},
 publisher={IEEE},
 location={Melbourne, Australia},
}
RIS
TY  - CONF
AU  - Rainbow, Ben
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics
TI  - Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction
PY  - 2021
Y1  - 10 2021
SP  - 2959
EP  - 2966
DO  - 10.1109/SMC52423.2021.9658781
SN  - 2959-2966
PB  - IEEE
ER  - 
Paper YouTube

Citations 10+

Data-Driven Crowd Motion Control with Multi-Touch Gestures
Data-Driven Crowd Motion Control with Multi-Touch Gestures  Invited presentation at Eurographics 2019Impact Factor: 2.7Citation: 15#
Computer Graphics Forum (CGF), 2018
Yijun Shen, Joseph Henry, He Wang, Edmond S. L. Ho, Taku Komura and Hubert P. H. Shum
Webpage Cite This Plain Text
Yijun Shen, Joseph Henry, He Wang, Edmond S. L. Ho, Taku Komura and Hubert P. H. Shum, "Data-Driven Crowd Motion Control with Multi-Touch Gestures," Computer Graphics Forum, vol. 37, no. 6, pp. 382-394, John Wiley and Sons Ltd., 2018.
Bibtex
@article{shen18datadriven,
 author={Shen, Yijun and Henry, Joseph and Wang, He and Ho, Edmond S. L. and Komura, Taku and Shum, Hubert P. H.},
 journal={Computer Graphics Forum},
 series={CGF '24},
 title={Data-Driven Crowd Motion Control with Multi-Touch Gestures},
 year={2018},
 volume={37},
 number={6},
 pages={382--394},
 numpages={14},
 doi={10.1111/cgf.13333},
 issn={1467-8659},
 publisher={John Wiley and Sons Ltd.},
 Address={Chichester, UK},
}
RIS
TY  - JOUR
AU  - Shen, Yijun
AU  - Henry, Joseph
AU  - Wang, He
AU  - Ho, Edmond S. L.
AU  - Komura, Taku
AU  - Shum, Hubert P. H.
T2  - Computer Graphics Forum
TI  - Data-Driven Crowd Motion Control with Multi-Touch Gestures
PY  - 2018
VL  - 37
IS  - 6
SP  - 382
EP  - 394
DO  - 10.1111/cgf.13333
SN  - 1467-8659
PB  - John Wiley and Sons Ltd.
ER  - 
Paper YouTube
Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding
Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding H5-Index: 66#Citation: 14#
Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP), 2022
Ruochen Li, Stamos Katsigiannis and Hubert P. H. Shum
Webpage Cite This Plain Text
Ruochen Li, Stamos Katsigiannis and Hubert P. H. Shum, "Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding," in ICIP '22: Proceedings of the 2022 IEEE International Conference on Image Processing, pp. 2346-2350, Bordeaux, France, IEEE, Oct 2022.
Bibtex
@inproceedings{li22multiclasssgcn,
 author={Li, Ruochen and Katsigiannis, Stamos and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 IEEE International Conference on Image Processing},
 series={ICIP '22},
 title={Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding},
 year={2022},
 month={10},
 pages={2346--2350},
 numpages={5},
 doi={10.1109/ICIP46576.2022.9897644},
 publisher={IEEE},
 location={Bordeaux, France},
}
RIS
TY  - CONF
AU  - Li, Ruochen
AU  - Katsigiannis, Stamos
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 IEEE International Conference on Image Processing
TI  - Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding
PY  - 2022
Y1  - 10 2022
SP  - 2346
EP  - 2350
DO  - 10.1109/ICIP46576.2022.9897644
PB  - IEEE
ER  - 
Paper GitHub

Citations 0+

Formation Control for UAVs Using a Flux Guided Approach
Formation Control for UAVs Using a Flux Guided Approach Impact Factor: 7.5Top 25% Journal in Computer Science, Artificial Intelligence
Expert Systems with Applications (ESWA), 2022
John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang and Subramanian Ramamoorthy
Webpage Cite This Plain Text
John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang and Subramanian Ramamoorthy, "Formation Control for UAVs Using a Flux Guided Approach," Expert Systems with Applications, vol. 205, pp. 117665, Elsevier, 2022.
Bibtex
@article{hartley21formation,
 author={Hartley, John and Shum, Hubert P. H. and Ho, Edmond S. L. and Wang, He and Ramamoorthy, Subramanian},
 journal={Expert Systems with Applications},
 series={ESWA '24},
 title={Formation Control for UAVs Using a Flux Guided Approach},
 year={2022},
 volume={205},
 pages={117665},
 numpages={11},
 doi={10.1016/j.eswa.2022.117665},
 issn={0957-4174},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Hartley, John
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
AU  - Wang, He
AU  - Ramamoorthy, Subramanian
T2  - Expert Systems with Applications
TI  - Formation Control for UAVs Using a Flux Guided Approach
PY  - 2022
VL  - 205
SP  - 117665
EP  - 117665
DO  - 10.1016/j.eswa.2022.117665
SN  - 0957-4174
PB  - Elsevier
ER  - 
Paper YouTube
Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017
Shoujiang Xu, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Shoujiang Xu, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum, "Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video," in SKIMA '17: Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications, pp. 1-6, Colombo, Sri Lanka, IEEE, Dec 2017.
Bibtex
@inproceedings{xu17unsupervised,
 author={Xu, Shoujiang and Ho, Edmond S. L. and Aslam, Nauman and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications},
 series={SKIMA '17},
 title={Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video},
 year={2017},
 month={12},
 pages={1--6},
 numpages={6},
 doi={10.1109/SKIMA.2017.8294092},
 issn={2573-3214},
 publisher={IEEE},
 location={Colombo, Sri Lanka},
}
RIS
TY  - CONF
AU  - Xu, Shoujiang
AU  - Ho, Edmond S. L.
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications
TI  - Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
PY  - 2017
Y1  - 12 2017
SP  - 1
EP  - 6
DO  - 10.1109/SKIMA.2017.8294092
SN  - 2573-3214
PB  - IEEE
ER  - 
Paper
PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction
PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction Impact Factor: 1.3
Software Impacts (SIMPAC), 2021
Qianhui Men and Hubert P. H. Shum
Webpage Cite This Plain Text
Qianhui Men and Hubert P. H. Shum, "PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction," Software Impacts, vol. 11, pp. 100201, Elsevier, 2021.
Bibtex
@article{men21pytorch,
 author={Men, Qianhui and Shum, Hubert P. H.},
 journal={Software Impacts},
 series={SIMPAC '24},
 title={PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction},
 year={2021},
 volume={11},
 pages={100201},
 numpages={3},
 doi={10.1016/j.simpa.2021.100201},
 issn={2665-9638},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
T2  - Software Impacts
TI  - PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction
PY  - 2021
VL  - 11
SP  - 100201
EP  - 100201
DO  - 10.1016/j.simpa.2021.100201
SN  - 2665-9638
PB  - Elsevier
ER  - 
Paper
Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery H5-Index: 115#
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon
Webpage Cite This Plain Text
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon, "Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery," in CVPRW '23: Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 2995-3005, Vancouver, Canada, IEEE/CVF, Jun 2023.
Bibtex
@inproceedings{gaus23region,
 author={Gaus, Yona Falinie A. and Bhowmik, Neelanjan and Isaac-Medina, Brian K. S. and Shum, Hubert P. H. and Atapour-Abarghouei, Amir and Breckon, Toby P.},
 booktitle={Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
 series={CVPRW '23},
 title={Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery},
 year={2023},
 month={6},
 pages={2995--3005},
 numpages={11},
 doi={10.1109/CVPRW59228.2023.00301},
 publisher={IEEE/CVF},
 location={Vancouver, Canada},
}
RIS
TY  - CONF
AU  - Gaus, Yona Falinie A.
AU  - Bhowmik, Neelanjan
AU  - Isaac-Medina, Brian K. S.
AU  - Shum, Hubert P. H.
AU  - Atapour-Abarghouei, Amir
AU  - Breckon, Toby P.
T2  - Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI  - Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
PY  - 2023
Y1  - 6 2023
SP  - 2995
EP  - 3005
DO  - 10.1109/CVPRW59228.2023.00301
PB  - IEEE/CVF
ER  - 
Paper
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction Impact Factor: 10.2Top 10% Journal in Computer Science, Artificial Intelligence
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
Ruochen Li, Stamos Katsigiannis, Tae-Kyun Kim and Hubert P. H. Shum
Webpage Cite This Plain Text
Ruochen Li, Stamos Katsigiannis, Tae-Kyun Kim and Hubert P. H. Shum, "BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction," IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2025.
Bibtex
@article{li24bpsgcn,
 author={Li, Ruochen and Katsigiannis, Stamos and Kim, Tae-Kyun and Shum, Hubert P. H.},
 journal={IEEE Transactions on Neural Networks and Learning Systems},
 title={BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction},
 year={2025},
 numpages={15},
 doi={10.1109/TNNLS.2025.3545268},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Li, Ruochen
AU  - Katsigiannis, Stamos
AU  - Kim, Tae-Kyun
AU  - Shum, Hubert P. H.
T2  - IEEE Transactions on Neural Networks and Learning Systems
TI  - BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
PY  - 2025
DO  - 10.1109/TNNLS.2025.3545268
PB  - IEEE
ER  - 
Paper Supplementary Material GitHub
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction Impact Factor: 8.3Top 10% Journal in Engineering, Electrical & Electronic
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu and Hubert P. H. Shum
Webpage Cite This Plain Text
Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu and Hubert P. H. Shum, "Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction," IEEE Transactions on Circuits and Systems for Video Technology, IEEE, 2025.
Bibtex
@article{li24unified,
 author={Li, Ruochen and Qiao, Tanqiu and Katsigiannis, Stamos and Zhu, Zhanxing and Shum, Hubert P. H.},
 journal={IEEE Transactions on Circuits and Systems for Video Technology},
 title={Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction},
 year={2025},
 doi={10.1109/TCSVT.2025.3539522},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Li, Ruochen
AU  - Qiao, Tanqiu
AU  - Katsigiannis, Stamos
AU  - Zhu, Zhanxing
AU  - Shum, Hubert P. H.
T2  - IEEE Transactions on Circuits and Systems for Video Technology
TI  - Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
PY  - 2025
DO  - 10.1109/TCSVT.2025.3539522
PB  - IEEE
ER  - 
Paper GitHub
Semi-Supervised Crowd Counting from Unlabeled Data
Semi-Supervised Crowd Counting from Unlabeled Data
arXiv Preprint, 2021
Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu and Yang Long
Webpage Cite This Plain Text
Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu and Yang Long, "Semi-Supervised Crowd Counting from Unlabeled Data," arXiv preprint arXiv:2108.13969, 2021.
Bibtex
@article{duan21crowd,
 author={Duan, Haoran and Wan, Fan and Sun, Rui and Wang, Zeyu and Ojha, Varun and Guan, Yu and Shum, Hubert P. H. and Hu, Bingzhang and Long, Yang},
 journal={arXiv},
 series={Preprint '21},
 title={Semi-Supervised Crowd Counting from Unlabeled Data},
 year={2021},
 numpages={24},
 eprint={arXiv:2108.13969},
 archivePrefix={arXiv},
 primaryClass={cs.CV},
 doi={10.48550/arXiv.2108.13969},
 url={https://arxiv.org/abs/2108.13969},
}
RIS
TY  - Preprint
AU  - Duan, Haoran
AU  - Wan, Fan
AU  - Sun, Rui
AU  - Wang, Zeyu
AU  - Ojha, Varun
AU  - Guan, Yu
AU  - Shum, Hubert P. H.
AU  - Hu, Bingzhang
AU  - Long, Yang
JO  - arXiv preprints
SP  - arXiv:2108.13969
KW  - cs.CV
TI  - Semi-Supervised Crowd Counting from Unlabeled Data
PY  - 2021
DO  - 10.48550/arXiv.2108.13969
ER  - 
Paper


† According to Journal Citation Reports 2023
‡ According to Core Ranking 2023
# According to Google Scholar 2025


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