FAQ: What are FASTCAT-Edge and FASTCAT-Cloud?
Frederic answers some of your questions in this FAQ session about the Cos4Cloud FASTCAT services FASTCAT-Cloud and FASTCAT-Edge . ...
Read moreWe develop novel techniques able to recognise different lifeforms, characterise their shape, movements, sequential gestures, to the level where they will describe and compute articulated movements in real time. The research outcomes would change the paradigm of monitoring biodiversity, by giving feedback on behaviours after analysing, in real time, the streaming videos.
Our solutions in computer vision and information retrieval algorithms provide an algorithmic chain capable of: analysing shapes in sequential video-frames; and extracting vision based features used to detect movements.
Once the shape has been described and analysed, the surroundings and context can be augmented, for archival, labelling, sharing with others for further study.
We integrate latest ideas and algorithms from the Machine Learning field, applied to problems of monitoring the biodiversity in a particular setting.
Our contributions to the European Horizon 2020 Cos4Cloud Project
Frederic answers some of your questions in this FAQ session about the Cos4Cloud FASTCAT services FASTCAT-Cloud and FASTCAT-Edge . ...
Read moreDirector Frederic talks about the Cos4Cloud FASTCAT services FASTCAT-Cloud and FASTCAT-Edge . This service is live at service.fastcat-cloud.org ! ...
Read moreSince November 2019, we are an active member of the C4C consortium working at the crossings of biodiversity monitoring and citizen science. Our team is focused on biodiversity monitoring using camera traps. ...
Read more