A.I. for biodiversity monitoring
Our solution in computer vision and information retrieval algorithms provide an algorithmic chain capable of: (i) analysing shapes in sequential video-frames, (ii) 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.
what we do
We 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.
Prof. Frederic Fol Leymarie
Prof. STEFAN RÜGER
Dr. PRASHANT APARAJEYA
Dr. VESNA PETRESIN
news and events
Developer in Computer Vision and Machine Learning Research Location: London Salary: Not specified Hours: Full Time Contract Type: Fixed-Term/Contract We are looking for an R&D developer for an initial 24 month (extension possible). The role will be to research, develop and deploy AI image recognition software within a Euro 6 m funded EU project (13 Read more about Open position: ML, Vision[…]
Frederic presented in late November, some of our on-going work on shape-based information retrieval in large image and video databases at the annual British Computer Society’s Search for Solutions Conference. http://irsg.bcs.org/SearchSolutions/2016/sse2016.php Frederic was the last speaker of the day … some people had left already (and voted!) … speakers included researchers from : Google, Microsoft Read more about Best presentation at Search Solutions 2016[…]
Stefan gave a keynote at the IEEE International Conference on Semantic Computing 2016 in Laguna Hills, California on Visual mining. Like text mining, visual media mining tries to make sense of the world through algorithms – albeit by analysing pixels instead of words. This talk highlighted recent important technical advances in automated media understanding, which Read more about Keynote at IEEE ICSC 2016[…]
Prof Frederic Fol Leymarie, Founder and Director of DynAikon, is keynote speaker at MOCO 2016, the Movement and Computing Symposium and Workshop in Thessaloniki, Greece. The title of his talk: “Drawing, Gestures, Robots” moco16.movementcomputing.org
Movement Description and Gesture Recognition for Live Media Arts – presented by DynAIkon at the CVMP 2015 symposium, BFI London Our research aims to develop novel techniques able to recognise different sequential gestures, to the level where they will describe and compute articulated movements in real time. In the context of live media arts, Read more about CVMP – London, BFI 2015[…]