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We advance autonomous surveillance with machine learning algorithms to identify hostile objects and anomalies.

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Impact Factor 7.0+

Image Editing Based Data Augmentation for Illumination-Insensitive Background Subtraction
Image Editing Based Data Augmentation for Illumination-Insensitive Background Subtraction REF 2021 Submitted OutputImpact Factor: 7.4Top 10% Journal in Information Science & Library Science
Journal of Enterprise Information Management (JEIM), 2020
Dimitrios Sakkos, Edmond S. L. Ho, Hubert P. H. Shum and Garry Elvin
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Dimitrios Sakkos, Edmond S. L. Ho, Hubert P. H. Shum and Garry Elvin, "Image Editing Based Data Augmentation for Illumination-Insensitive Background Subtraction," Journal of Enterprise Information Management, Emerald Publishing Limited, 2020.
Bibtex
@article{sakkos20image,
 author={Sakkos, Dimitrios and Ho, Edmond S. L. and Shum, Hubert P. H. and Elvin, Garry},
 journal={Journal of Enterprise Information Management},
 title={Image Editing Based Data Augmentation for Illumination-Insensitive Background Subtraction},
 year={2020},
 doi={10.1108/JEIM-02-2020-0042},
 issn={1741-0398},
 publisher={Emerald Publishing Limited},
}
RIS
TY  - JOUR
AU  - Sakkos, Dimitrios
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
AU  - Elvin, Garry
T2  - Journal of Enterprise Information Management
TI  - Image Editing Based Data Augmentation for Illumination-Insensitive Background Subtraction
PY  - 2020
DO  - 10.1108/JEIM-02-2020-0042
SN  - 1741-0398
PB  - Emerald Publishing Limited
ER  - 
Paper GitHub

Impact Factor 3.0+

Unifying Person and Vehicle Re-Identification
Unifying Person and Vehicle Re-Identification Impact Factor: 3.4Citation: 14#
IEEE Access, 2020
Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum, "Unifying Person and Vehicle Re-Identification," IEEE Access, vol. 8, pp. 115673-115684, IEEE, 2020.
Bibtex
@article{daniel20unifying,
 author={Organisciak, Daniel and Sakkos, Dimitrios and Ho, Edmond S. L. and Aslam, Nauman and Shum, Hubert P. H.},
 journal={IEEE Access},
 title={Unifying Person and Vehicle Re-Identification},
 year={2020},
 volume={8},
 pages={115673--115684},
 numpages={12},
 doi={10.1109/ACCESS.2020.3004092},
 issn={2169-3536},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Organisciak, Daniel
AU  - Sakkos, Dimitrios
AU  - Ho, Edmond S. L.
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - IEEE Access
TI  - Unifying Person and Vehicle Re-Identification
PY  - 2020
VL  - 8
SP  - 115673
EP  - 115684
DO  - 10.1109/ACCESS.2020.3004092
SN  - 2169-3536
PB  - IEEE
ER  - 
Paper GitHub
Illumination-Aware Multi-Task GANs for Foreground Segmentation
Illumination-Aware Multi-Task GANs for Foreground Segmentation Impact Factor: 3.4Citation: 31#
IEEE Access, 2019
Dimitrios Sakkos, Edmond S. L. Ho and Hubert P. H. Shum
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Dimitrios Sakkos, Edmond S. L. Ho and Hubert P. H. Shum, "Illumination-Aware Multi-Task GANs for Foreground Segmentation," IEEE Access, vol. 7, no. 1, pp. 10976-10986, IEEE, 2019.
Bibtex
@article{sakkos19illuminationaware,
 author={Sakkos, Dimitrios and Ho, Edmond S. L. and Shum, Hubert P. H.},
 journal={IEEE Access},
 title={Illumination-Aware Multi-Task GANs for Foreground Segmentation},
 year={2019},
 volume={7},
 number={1},
 pages={10976--10986},
 numpages={12},
 doi={10.1109/ACCESS.2019.2891943},
 issn={2169-3536},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Sakkos, Dimitrios
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - IEEE Access
TI  - Illumination-Aware Multi-Task GANs for Foreground Segmentation
PY  - 2019
VL  - 7
IS  - 1
SP  - 10976
EP  - 10986
DO  - 10.1109/ACCESS.2019.2891943
SN  - 2169-3536
PB  - IEEE
ER  - 
Paper

Impact Factor 0.0+

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
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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
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP), 2022
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum
Webpage Cite This Plain Text
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum, "UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery," in VISAPP '22: Proceedings of the 2022 International Conference on Computer Vision Theory and Applications, pp. 136-146, SciTePress, Feb 2022.
Bibtex
@inproceedings{organisciak22uavreid,
 author={Organisciak, Daniel and Poyser, Matthew and Alsehaim, Aishah and Hu, Shanfeng and Isaac-Medina, Brian K. S. and Breckon, Toby P. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 International Conference on Computer Vision Theory and Applications},
 series={VISAPP '22},
 title={UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery},
 year={2022},
 month={2},
 pages={136--146},
 numpages={11},
 doi={10.5220/0010836600003124},
 isbn={978-989-758-555-5},
 publisher={SciTePress},
}
RIS
TY  - CONF
AU  - Organisciak, Daniel
AU  - Poyser, Matthew
AU  - Alsehaim, Aishah
AU  - Hu, Shanfeng
AU  - Isaac-Medina, Brian K. S.
AU  - Breckon, Toby P.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 International Conference on Computer Vision Theory and Applications
TI  - UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
PY  - 2022
Y1  - 2 2022
SP  - 136
EP  - 146
DO  - 10.5220/0010836600003124
SN  - 978-989-758-555-5
PB  - SciTePress
ER  - 
Paper GitHub
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark H5-Index: 80#Citation: 94#
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
Webpage Cite This Plain Text
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum, "Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark," in ICCVW '21: Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops, pp. 1223-1232, IEEE/CVF, Oct 2021.
Bibtex
@inproceedings{issacmedina21unmanned,
 author={Isaac-Medina, Brian K. S. and Poyser, Matthew and Organisciak, Daniel and Willcocks, Chris G. and Breckon, Toby P. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops},
 series={ICCVW '21},
 title={Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark},
 year={2021},
 month={10},
 pages={1223--1232},
 numpages={10},
 doi={10.1109/ICCVW54120.2021.00142},
 publisher={IEEE/CVF},
}
RIS
TY  - CONF
AU  - Isaac-Medina, Brian K. S.
AU  - Poyser, Matthew
AU  - Organisciak, Daniel
AU  - Willcocks, Chris G.
AU  - Breckon, Toby P.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops
TI  - Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
PY  - 2021
Y1  - 10 2021
SP  - 1223
EP  - 1232
DO  - 10.1109/ICCVW54120.2021.00142
PB  - IEEE/CVF
ER  - 
Paper GitHub
Triplet Loss with Channel Attention for Person Re-Identification
Triplet Loss with Channel Attention for Person Re-Identification Citation: 12#
Journal of WSCG - Proceedings of the 2019 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2019
Daniel Organisciak, Chirine Riachy, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Daniel Organisciak, Chirine Riachy, Nauman Aslam and Hubert P. H. Shum, "Triplet Loss with Channel Attention for Person Re-Identification," Journal of WSCG, vol. 27, no. 2, pp. 161-169, Plzen, Czech Republic, 2019.
Bibtex
@article{organisciak19triplet,
 author={Organisciak, Daniel and Riachy, Chirine and Aslam, Nauman and Shum, Hubert P. H.},
 journal={Journal of WSCG},
 title={Triplet Loss with Channel Attention for Person Re-Identification},
 year={2019},
 volume={27},
 number={2},
 pages={161--169},
 numpages={9},
 doi={10.24132/JWSCG.2019.27.2.9},
 issn={1213-6972},
 location={Plzen, Czech Republic},
}
RIS
TY  - JOUR
AU  - Organisciak, Daniel
AU  - Riachy, Chirine
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - Journal of WSCG
TI  - Triplet Loss with Channel Attention for Person Re-Identification
PY  - 2019
VL  - 27
IS  - 2
SP  - 161
EP  - 169
DO  - 10.24132/JWSCG.2019.27.2.9
SN  - 1213-6972
ER  - 
Paper
Illumination-Based Data Augmentation for Robust Background Subtraction
Illumination-Based Data Augmentation for Robust Background Subtraction  Best Paper AwardCitation: 22#
Proceedings of the 2019 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2019
Dimitrios Sakkos, Hubert P. H. Shum and Edmond S. L. Ho
Webpage Cite This Plain Text
Dimitrios Sakkos, Hubert P. H. Shum and Edmond S. L. Ho, "Illumination-Based Data Augmentation for Robust Background Subtraction," in SKIMA '19: Proceedings of the 2019 International Conference on Software, Knowledge, Information Management and Applications, pp. 1-8, Island of Ukulhas, Maldives, IEEE, Aug 2019.
Bibtex
@inproceedings{sakkos19triplet,
 author={Sakkos, Dimitrios and Shum, Hubert P. H. and Ho, Edmond S. L.},
 booktitle={Proceedings of the 2019 International Conference on Software, Knowledge, Information Management and Applications},
 series={SKIMA '19},
 title={Illumination-Based Data Augmentation for Robust Background Subtraction},
 year={2019},
 month={8},
 pages={1--8},
 numpages={8},
 doi={10.1109/SKIMA47702.2019.8982527},
 publisher={IEEE},
 location={Island of Ukulhas, Maldives},
}
RIS
TY  - CONF
AU  - Sakkos, Dimitrios
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
T2  - Proceedings of the 2019 International Conference on Software, Knowledge, Information Management and Applications
TI  - Illumination-Based Data Augmentation for Robust Background Subtraction
PY  - 2019
Y1  - 8 2019
SP  - 1
EP  - 8
DO  - 10.1109/SKIMA47702.2019.8982527
PB  - IEEE
ER  - 
Paper GitHub
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

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


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