Name
Abstract | ||
|---|---|---|
Action detection in video is a particularly difficult problem because actions must not only be recognized correctly, but must also be localized in the 3D spatio-temporal volume. This paper introduces a technique that transforms the 3D localization problem into a series of 2D detection tasks. This is accomplished by dividing the video into overlapping segments, then representing each segment with a 2D video projection. The advantage of the 2D projection is that it makes it convenient to apply the best techniques from object detection to the action detection problem. Our experiments show that video projection outperforms the latest results on action detection in a direct comparison. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CVPRW.2011.5981747 | CVPR 2011 WORKSHOPS |
Keywords | Field | DocType |
action localization,sequential 2D video projections,action detection problem,3D spatio-temporal volume,3D localization problem,object detection | Object detection,Computer vision,Histogram,Viola–Jones object detection framework,Pattern recognition,Object-class detection,Computer science,Support vector machine,Feature extraction,Image segmentation,Video tracking,Artificial intelligence | Conference |
Volume | Issue | ISSN |
2011 | 1 | 2160-7508 |
ISBN | Citations | PageRank |
978-1-4577-0529-8 | 3 | 0.38 |
References | Authors | |
16 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hakan Boyraz | 1 | 3 | 0.38 |
| Marshall F. Tappen | 2 | 1901 | 89.34 |
| Rahul Sukthankar | 3 | 6137 | 365.45 |