Name
Abstract | ||
|---|---|---|
In this paper we describe a tracker of facial landmarks submitted to the 300 Videos in the Wild (300-VW) challenge. Our tracker is a straightforward extension of a well tuned tree-based DPM landmark detector originally developed for static images. The tracker is obtained by applying the static detector independently in each frame and using the Kalman filter to smooth estimates of the face positions as well as to compensate possible failures of the face detector. The resulting tracker provides a robust estimate of 68 landmarks running at 5 fps on an ordinary PC. We provide an open-source implementation of the proposed tracker at (http://cmp.felk.cvut.cz/~uricamic/clandmark/). |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICCVW.2015.127 | ICCV Workshops |
Field | DocType | Volume |
Computer vision,Pattern recognition,Computer science,Kalman filter,Artificial intelligence,Landmark,Detector | Conference | 2015 |
Issue | Citations | PageRank |
1 | 5 | 0.41 |
References | Authors | |
18 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Uricar | 1 | 86 | 4.31 |
| Vojtěch Franc | 2 | 584 | 55.78 |
| Václav Hlavác | 3 | 616 | 85.46 |