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The Visual Object Tracking VOT2013 Challenge Results
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Matej Kristan,Roman Pflugfelder,Ale Leonardis,Jiri Matas,Fatih Porikli,Luka Cehovin,Georg Nebehay,Gustavo Fernandez,Toma 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
Issue Date:December 2013
pp. 98-111
Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that th...
 
An adaptive coupled-layer visual model for robust visual tracking
Found in: Computer Vision, IEEE International Conference on
By Luka Cehovin,Matej Kristan,Ales Leonardis
Issue Date:November 2011
pp. 1363-1370
This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the target's global and local appearance. The local layer in this model is a set of loc...
 
Is my new tracker really better than yours?
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Luka Cehovin,Matej Kristan,Ales Leonardis
Issue Date:March 2014
pp. 540-547
The problem of visual tracking evaluation is sporting an abundance of performance measures, which are used by various authors, and largely suffers from lack of consensus about which measures should be preferred. This is hampering the cross-paper tracker co...
   
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