University of Twente Student Theses
An Approach at Social Relation Recognition in Egocentric Videos using Pose Estimation
Meijer, M.P. (2022) An Approach at Social Relation Recognition in Egocentric Videos using Pose Estimation.
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| Abstract: | In this paper, a literature review is conducted and a framework is analysed for the automatic recognition of social relations in egocentric videos. Background research is conducted, where different methods of recognising social relations in videos are compared. An approach is proposed where the supervised machine learning models Nearest Neighbors, Linear SVM, RBF SVM, Gaussian Process, Decision Tree, Random Forest, Neural Net, AdaBoost, Naive Bayes and QDA are applied to data generated by human pose estimation and tracking. Finally, various experiments are done to validate the proposed features and classifiers. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/91815 |
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