2022

Patino, L., Hubner, M., King, R., Litzenberger, M., Roupioz, L., Michon, K., Szklarski, L., Pegoraro, J., Stoianov, N. and Ferryman, J. (2022) Fusion of heterogenous sensor data in border surveillance. Sensors, 22 (19). 7351. ISSN 1424-8220 doi: https://doi.org/10.3390/s22197351

2021

Patino, L., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Ferryman, J., Auer, J., Pegoraro, J., Pflugfelder, R., Cokbas, M., Konrad, J., Ishwar, P., Slavic, G., Marcenaro, L., Jiang, Y., Jin, Y., Ko, H., Zhao, G., Ben-Yosef, G. and Qiu, J. (2021) PETS2021: through-foliage detection and tracking challenge and evaluation. In: 2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663837

Patino, L., Cane, T. and Ferryman, J. (2021) A comprehensive maritime benchmark dataset for detection, tracking and threat recognition. In: 17th IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS 2021), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663739

2020

Galdi, C., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Chen, L., Chiesa, V., Debiasi, L., Dugelay, J.-L., Ferryman, J., Grudzien, A., Kauba, C., Kirchgasser, S., Kowalski, M., Linortner, M., Maik, P., Michon, K., Patino, L., Prommegger, B., Sequeira, A., Szklarski, Ł. and Uhl, A. (2020) PROTECT: pervasive and useR fOcused biomeTrics bordEr projeCT. A Case Study. IET Biometrics. ISSN 2047-4946 doi: https://doi.org/10.1049/iet-bmt.2020.0033

2017

Patino, L., Nawaz, T., Cane, T. and Ferryman, J. (2017) PETS 2017: dataset and challenge. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 July 2017, Honolulu, HI, USA. doi: https://doi.org/10.1109/CVPRW.2017.264

Patino, L. and Ferryman, J. (2017) Loitering behaviour detection of boats at sea. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 July 2017, Honolulu, HI, USA.

2016

Patino, L., Cane, T., Vallee, A. and Ferryman, J. (2016) PETS 2016: dataset and challenge. In: IEEE Cnference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 June-1 July 2016, Las Vegas, USA, pp. 1240-1247.

Patino, L. and Ferryman, J. (2016) Semantic modelling for behaviour characterisation and threat detection. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 June-1 July 2016, Las Vegas, USA, pp. 1282-1288.

Patino, L. and Ferryman, J. (2016) Detecting threat behaviours. In: 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), August 23-26, 2016, Colorado Springs, US, pp. 88-94.

Andersson, M., Johansson, R., Stenborg, K.-G., Forsgren, R., Cane, T., Taberski, G., Patino, L. and Ferryman, J. (2016) The IPATCH system for maritime surveillance and piracy threat classification. In: 2016 European Intelligence and Security Informatics Conference (EISIC), 17-19 Aug 2016, Uppsala, Sweden, p. 200. doi: https://doi.org/10.1109/EISIC.2016.054

2015

Patino, L. and Ferryman, J. (2015) PETS 2014: dataset and challenge. In: 11th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS 2014), August 26-29, 2014, Seoul, Korea, pp. 1-6.

Patino, L. and Ferryman, J. (2015) Meeting detection in video through semantic analysis. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, Karlsruhe, Germany, pp. 1-6.

2014

Patino, L. and Ferryman, J. (2014) Multicamera trajectory analysis for semantic behaviour characterisation. In: 11th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2014), August 26-29, 2014, Seoul, Korea, pp. 1-6.

Sanromà, G., Patino, L., Burghouts, G., Schutte, K. and Ferryman, J. (2014) A unified approach to the recognition of complex actions from sequences of zone-crossings. Image and Vision Computing, 32 (5). pp. 363-378. ISSN 0262-8856 doi: https://doi.org/10.1016/j.imavis.2014.02.005

Patino, L. and Ferryman, J. (2014) Multiresolution semantic activity characterisation and abnormality discovery in videos. Applied Soft Computing, 25. pp. 485-495. ISSN 15684946 doi: https://doi.org/10.1016/j.asoc.2014.08.039