Search Results for author: Luka Čehovin

Found 4 papers, 1 papers with code

Visual object tracking performance measures revisited

no code implementations20 Feb 2015 Luka Čehovin, Aleš Leonardis, Matej Kristan

The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments.

Object Visual Object Tracking +1

Deformable Parts Correlation Filters for Robust Visual Tracking

no code implementations12 May 2016 Alan Lukežič, Luka Čehovin, Matej Kristan

Deformable parts models show a great potential in tracking by principally addressing non-rigid object deformations and self occlusions, but according to recent benchmarks, they often lag behind the holistic approaches.

Object Object Localization +1

Discriminative Correlation Filter with Channel and Spatial Reliability

4 code implementations CVPR 2017 Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan

Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance.

Ranked #13 on Visual Object Tracking on VOT2017/18 (using extra training data)

Visual Object Tracking

TraX: The visual Tracking eXchange Protocol and Library

no code implementations12 May 2017 Luka Čehovin

We present a reference implementation of the protocol that makes it easy to use in several popular programming languages and discuss where the protocol is already used and some usage scenarios that we envision for the future.

Visual Tracking

Cannot find the paper you are looking for? You can Submit a new open access paper.