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.
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 -
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 -
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 -
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 Topics: Crowd Modelling Webpage DOI arXiv 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 -
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 -
< ref name="shen18datadriven">{{cite journal |last1=Shen |first1=Yijun |last2=Henry |first2=Joseph |last3=Wang |first3=He |last4=Ho |first4=Edmond S. L. |last5=Komura |first5=Taku |last6=Shum |first6=Hubert P. H. |title=Data-Driven Crowd Motion Control with Multi-Touch Gestures |journal=Computer Graphics Forum |date=2018 |volume=37 |issue=6 |pages=382--394 |doi=10.1111/cgf.13333 |issn=1467-8659 |publisher=John Wiley and Sons Ltd. |url=http://doi.org/10.1111/cgf.13333 }}< /ref>
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 -
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 -
< ref name="hartley21formation">{{cite journal |last1=Hartley |first1=John |last2=Shum |first2=Hubert P. H. |last3=Ho |first3=Edmond S. L. |last4=Wang |first4=He |last5=Ramamoorthy |first5=Subramanian |title=Formation Control for UAVs Using a Flux Guided Approach |journal=Expert Systems with Applications |date=2022 |volume=205 |pages=117665 |doi=10.1016/j.eswa.2022.117665 |issn=0957-4174 |publisher=Elsevier |url=https://arxiv.org/abs/2103.09184 }}< /ref>
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 Topics: Crowd Modelling, Surveillance, Video Analysis Webpage DOI 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 -
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 -
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 -
< ref name="gaus23region">{{cite conference |last1=Gaus |first1=Yona Falinie A. |last2=Bhowmik |first2=Neelanjan |last3=Isaac-Medina |first3=Brian K. S. |last4=Shum |first4=Hubert P. H. |last5=Atapour-Abarghouei |first5=Amir |last6=Breckon |first6=Toby P. |title=Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery |date=2023 |pages=2995--3005 |doi=10.1109/CVPRW59228.2023.00301 |publisher=IEEE/CVF |url=http://doi.org/10.1109/CVPRW59228.2023.00301 }}< /ref>
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 -
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 -
< ref name="li24unified">{{cite journal |last1=Li |first1=Ruochen |last2=Qiao |first2=Tanqiu |last3=Katsigiannis |first3=Stamos |last4=Zhu |first4=Zhanxing |last5=Shum |first5=Hubert P. H. |title=Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction |journal=IEEE Transactions on Circuits and Systems for Video Technology |date=2025 |doi=10.1109/TCSVT.2025.3539522 |publisher=IEEE |url=https://arxiv.org/abs/2502.02504 }}< /ref>
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 -