This workshop provides insights into the current state-of-the-art of different ways of anonymisation of FOT/NDS video data and includes discussions regarding the trends, the needs and the possibilities in the future, where also vehicle automation is a large stakeholder.
|Wednesday, 31 August 2016|
|Workshop introduction||Helena Gellerman (SAFER)|
|FOT-Net Data||Sami Koskinen (VTT)|
|Importance of real world data for safety systems development||John-Fredrik Grönvall, (Volvo Cars, Sweden)|
|What are the main issues with anonymization and feature extraction?||Helena Gellerman (SAFER)|
|US perspective on anonymization||Hannah Rakoff (USDOT, USA)|
|Differential Privacy for Data Mining and Querying||Devdatt Dubhashi (Chalmers, Sweden)|
|Computer resources for large scale anonymization/feature extraction||Ann-Charlotte Sonnhammer (SNIC, Sweden)|
|Video anonymization of vehicle environment||Jan-Erik Solem (Mapillary, Sweden)|
|Thursday, 1 September 2016|
|Feature extraction – how to assure you can delete data without information loss||John Lee (Wisconsin U, USA)|
|Using automatic video annotation for feature extraction||Flora Dellinger (WASSA, France)|
|Automated labelling and recognition||Jan Erik Solem (Mapillary, Sweden)|
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 610453.