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Luka Cehovin Zajc

2 accepted papers

2017

Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking

ICCV 2017poster

Object-to-camera motion produces a variety of apparent motion patterns that significantly affect performance of short-term visual trackers. Despite being crucial for designing robust trackers, their influence is poorly explored in standard benchmarks due to weakly defined, biased and overlapping att…

Cited by 26PDFScholar
2017

Discriminative Correlation Filter With Channel and Spatial Reliability

CVPR 2017poster

Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a novel learning algorithm for its efficient and seamless integration in…

Cited by 1672PDFcodeScholar