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Ugur Kart

2 accepted papers

2019

CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark

Alan Lukezic, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas +1
ICCV 2019poster

We propose a new color-and-depth general visual object tracking benchmark (CDTB). CDTB is recorded by several passive and active RGB-D setups and contains indoor as well as outdoor sequences acquired in direct sunlight. The CDTB dataset is the largest and most diverse dataset in RGB-D tracking, with…

Cited by 89PDF ↗code ↗Scholar ↗
2019

Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters

Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas
CVPR 2019poster

Standard RGB-D trackers treat the target as a 2D structure, which makes modelling appearance changes related even to out-of-plane rotation challenging. This limitation is addressed by the proposed long-term RGB-D tracker called OTR - Object Tracking by Reconstruction. OTR performs online 3D target r…

Cited by 106PDF ↗Scholar ↗