University of Twente Student Theses
Comparing grid-based features and classification settings, in an off-line supervised human action detection and recognition task
Hijmans, Remco (2012) Comparing grid-based features and classification settings, in an off-line supervised human action detection and recognition task.
![]() |
PDF
1MB |
Abstract: | This master thesis describes a final project, where two different grid-based features using different classification settings are compared, in an off-line supervised human action detection and recognition task. The task consists of the detecting and recognizing �tness moves performed in an exercise video, using limited training data acquired from the same video. |
Item Type: | Essay (Master) |
Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
Subject: | 54 computer science |
Programme: | Interaction Technology MSc (60030) |
Link to this item: | https://purl.utwente.nl/essays/61708 |
Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Repository Staff Only: item control page