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Performance Evaluation Methodology for Long-Term Visual Object Tracking
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed.
Now you see me: evaluating performance in long-term visual tracking
We propose a new long-term tracking performance evaluation methodology and present a new challenging dataset of carefully selected sequences with many target disappearances.
FuCoLoT -- A Fully-Correlational Long-Term Tracker
We propose FuCoLoT -- a Fully Correlational Long-term Tracker.
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking
Object-to-camera motion produces a variety of apparent motion patterns that significantly affect performance of short-term visual trackers.
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