作者
Matej Kristan, Roman Pflugfelder, Aleš Leonardis, Jiri Matas, Fatih Porikli, Luka Čehovin, Georg Nebehay, Gustavo Fernandez, Tomas Vojir, Adam Gatt, Ahmad Khajenezhad, Ahmed Salahledin, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale Ward, David Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed El Helw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha Yueying Lim, Sara Maher, Sebastien Poullot, Sebastien Wong, Shin'Ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhiheng Niu
发表日期
2013/12
研讨会论文
ICCV 2013 Workshops
页码范围
98-111
出版商
IEEE
简介
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.
学术搜索中的文章
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin… - Proceedings of the IEEE international conference on …, 2015