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...

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Hauptverfasser: Kristan, Matej, Matas, Jiri, Leonardis, Ale, Felsberg, Michael, Cehovin, Luka, Fernandez, Gustavo, Vojir, Toma, Hager, Gustav, Nebehay, Georg, Pflugfelder, Roman, Gupta, Abhinav, Bibi, Adel, Lukezic, Alan, Garcia-Martin, Alvaro, Saffari, Amir, Petrosino, Alfredo, Solis Montero, Andrés
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung: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 date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
DOI:10.1109/ICCVW.2015.79