Enrique Yujiro Shinohara Soto is a research assistant in the Intelligent Security Video Analytics department at Vicomtech. He obtained his bachelor's degree in computer science in 2021 from the University Carlos III of Madrid (UC3M) and later his master's degree in computer vision in 2023 from the Rey Juan Carlos University (URJC). His areas of research are focused on text detection and recognition, scene understanding and applied computer vision.

Dr Jorge Garcia Castaño is a senior researcher in Computer Vision at Vicomtech. He holds a higher primary degree in telecommunications engineering, a M.Sc. degree in electronic systems engineering, and a Doctoral degree (Ph.D.) Ph.D. in advanced electronic systems all awarded by the University of Alcalá, Spain. His doctoral degree was focused on person re-identification in video surveillance camera networks. Before joining Vicomtech, he held the position of Computer Vision Researcher at University of Alcala, Spain. He has also held similar positions at University of Delaware, USA, and the University of Udine, Italy. His research areas include Computer Vision, Machine Learning, Deep Learning, Scene Understanding and Video Surveillance. Jorge has participated in several European project under the FP7 and H2020 programmes leading work packages and as part of the project technical and scientific bodies (e.g., EWISA, INSPEC2T, AUTOPILOT, AIDA, APPRAISE, STARLIGHT, LAGO).

Dr. Luis Unzueta Irurtia obtained his degree in industrial engineering and his PhD from Tecnun, University of Navarra, Donostia-San Sebastián, in 2002 and 2009, respectively. From 2002 to 2008, he worked as a Researcher in the Simulation Area of ​​the Department of Applied Mechanics at CEIT, Donostia-San Sebastián, in the field of markerless human motion capture and action recognition applied to natural human–computer interaction. In 2008, he joined the VICOMTECH Foundation as a Senior Researcher in computer vision and machine learning techniques. Since 2023, he has worked as a Principal Researcher within the Intelligent Video Analytics for Security Area at VICOMTECH. He has participated in multiple international, national, and local research and innovation projects. He is the author of multiple peer-reviewed international publications at relevant conferences and journals. His current research interests include automatic fitting of deformable 3D graphical models to images for biometrics, video-based facial and body motion capture, and semantic interpretation of poses and movements.

Dr. Peter Leškovský (M) is a research scientist with expertise in computer graphics, computer vision, medical imaging and physically based simulations. He obtained a PhD degree in computer science from the Computer Vision Lab in ETH Zurich, Switzerland, in 2007. He first joined Vicomtech as a researcher in the field of biomedical analysis, after which he moved to the Computer Vision department of TU Berlin, as a main investigator of the Virtual Specimen Scout project, dealing with analysis of histological images. In 2012 Peter returned to Vicomtech, as a senior researcher participating in research and project management tasks. His research interests include image and video analysis, machine learning and deep neural networks with applications in video surveillance, forensic analysis as well as automotive tasks. His latest research contributions include detection and tracking tasks from multiple video streams, also adapted to embedded devices, reidentification of subjects of interest, recognition of events of interest from visual features as well as through semantic interpretation of the scene. During his career he participated and contributed to several European (e.g. FP7 SAVASA, FP7 PREACT, H2020 INSPEC2T, H2020 Cloud-LSVA, H2020 APPRAISE, DE-EMPOWER) and projects in the field of Civil Security for Society (CL3), exercising the roles of PI, technical leader of the H2020 BorderUAS project, and the role of coordinator of the H2020 project GRACE.