Action Detection from Egocentric Videos in Daily Living Scenarios
Publication date
2018
Authors
Kapidis, G.
van Dam, Elsbeth
Poppe, Ronald
Noldus, Lucas
Veltkamp, Remco
Editors
Grant, Robyn
Allen, Tom
Spink, Andrew
Sullivan, Matthew
Advisors
Supervisors
DOI
Document Type
Part of book
Metadata
Show full item recordCollections
License
Abstract
We are researching the use of egocentric vision in the area of Human Action Recognition. Inspired from recent advances in activity recognition from video using deep learning, we investigate the detection performance of Long Short-Term Memory networks on an elementary set of Activities of Daily Living, based on the detected objects in the scene.
Keywords
Citation
Kapidis, G, van Dam, E, Poppe, R W, Noldus, L & Veltkamp, R C 2018, Action Detection from Egocentric Videos in Daily Living Scenarios. in R Grant, T Allen, A Spink & M Sullivan (eds), Measuring Behavior 2018 : Conference Proceedings, 11th International Conference on Methods and Techniques in Behavioral Research, 5 th -8 th June 2018 Manchester Metropolitan University. pp. 405-407, Measuring Behavior 2018, Manchester, United Kingdom, 5/06/18., conference