Back to University of Twente portal
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.
![[img]](http://essay.utwente.nl/style/images/fileicons/application_pdf.png)
|
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: | Human Media Interaction MSc (60030) |
| Link to this item: | http://purl.utwente.nl/essays/61708 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page