The visual object tracking VOT2015 challenge results
The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to...
| Главные авторы: | , , , , , , , , |
|---|---|
| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2016
|