University of Amsterdam at THUMOS Challenge 2014
| Authors | |
|---|---|
| Publication date | 2014 |
| Book title | THUMOS Challenge 2014: notebook papers |
| Event | 14th ECCV, THUMOS Challenge workshop (Zürich) |
| Publisher | Orlando, FL: Center for Research in Computer Vision, University of Central Florida |
| Organisations |
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| Abstract | This notebook paper describes our approach for the action classification task of the THUMOS Challenge 2014. We investigate and exploit the action-object relationship by capturing both motion and related objects. As local descriptors we use HOG, HOF and MBH computed along the improved dense trajectories. For video encoding we rely on Fisher vector. In addition, we employ deep net features learned from object attributes to capture action context. All actions are classified with a one-versus-rest linear SVM. |
| Document type | Conference contribution |
| Language | English |
| Published at | http://crcv.ucf.edu/THUMOS14/papers/University%20of%20Amesterdam.pdf |
| Downloads |
University of Amesterdam
(Final published version)
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