The Visual Object Tracking VOT2015 Challenge Results
Kristan M., Matas J., Leonardis A., Felsberg M., Čehovin L., Fernández G., Vojír T., Häger G., Nebehay G., Pflugfelder R., Gupta A., Bibi A., Lukežič A., Garcia-Martin A., Saffari A., Petrosino A., Montero AS., Varfolomieiev A., Baskurt A., Zhao B., Ghanem B., Martinez B., Lee B., Han B., Wang C., Garcia C., Zhang C., Schmid C., Tao D., Kim D., Huang D., Prokhorov D., Du D., Yeung DY., Ribeiro E., Khan FS., Porikli F., Bunyak F., Zhu G., Seetharaman G., Kieritz H., Yau HT., Li H., Qi H., Bischof H., Possegger H., Lee H., Nam H., Bogun I., Jeong JC., Cho JI., Lee JY., Zhu J., Shi J., Li J., Jia J., Feng J., Gao J., Choi JY., Kim JW., Lang J., Martinez JM., Choi J., Xing J., Xue K., Palaniappan K., Lebeda K., Alahari K., Gao K., Yun K., Wong KH., Luo L., Ma L., Ke L., Wen L., Bertinetto L., Pootschi M., Maresca M., Danelljan M., Wen M., Zhang M., Arens M., Valstar M., Tang M., Chang MC., Khan MH., Fan N., Wang N., Miksik O., Torr PHS.
© 2015 IEEE. 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.