Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking

ICCV 2017 Luka Čehovin ZajcAlan LukežičAleš LeonardisMatej Kristan

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 attribute annotations... (read more)

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