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VPN: Learning Video-Pose Embedding for Activities of Daily Living

European Conference on Computer Vision, 2020
In this paper, we focus on the spatio-temporal aspect of recognizing Activities of Daily Living (ADL). ADL have two specific properties (i) subtle spatio-temporal patterns and (ii) similar visual patterns varying with time.
Srijan Das   +4 more
semanticscholar   +1 more source

Activities of daily living

2023
Blank
Frank Knoefel   +5 more
  +4 more sources

Recognition of Activities of Daily Living

2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
This paper presents a new method for human action recognition which exploits advantages of both trajectory and space-time based approaches in order to identify action patterns in given sequences. Videos with both a static and moving camera can be tackled, where camera motion effects are overcome via motion compensation.
Avgerinakis K.   +2 more
openaire   +1 more source

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