Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

12 Aug 2016Martin DanelljanAndreas RobinsonFahad Shahbaz KhanMichael Felsberg

Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking. The key to their success is the ability to efficiently exploit available negative data by including all shifted versions of a training sample... (read more)

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