ESR photo Research project "Privacy preservation in video-based AAL applications" About the project Visual data exposes a lot of information about individuals appearing on images and videos. Individuals may want to conceal all of this data, but in this case, the remaining information would be useless for the AAL services that build upon it. Therefore, there is a need to establish a trade-off between privacy and intelligibility of the images. This project will advance in a privacy-by-context approach, in which different visualisations are produced depending on the context in which images or videos are captured: Identity, appearance, location, ongoing activity of the subject being monitored; event triggered; identity and access rights of the observer; closeness between observer and monitored subject… While these privacy-by-context approach has been successfully employed using RGB-D cameras, it has been difficult to address privacy preservation using regular RGB cameras either located in the environment (preferably on the ceiling) or worn by the user. Therefore, this project will investigate visualisations methods to conceal visual privacy in applications and services for older and frail people that employ RGB cameras. About the ESR Siddharth holds a master’s degree in Systems and Control (2017), specializing in cognitive robotics from the Delft University of Technology (TU Delft) in The Netherlands. He has since done machine learning research in both industrial and academic settings. His latest stint was at the Norwegian company Q-Free, where he worked on creating novel deep learning-based object detection and segmentation pipelines to solve hard problems related to traffic and transportation. Contact information Siddharth Ravi University of Alicante Department of Computing Technology Ctra. San Vicente del Raspeig, S/N 03690 San Vicente del Raspeig, Spain Email address: siddharth.ravi@ua.es