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Multi-task Correlation Particle Filter Tracking by haris is a document available to read on EtoBox.

What is Multi-task Correlation Particle Filter Tracking about?

1) The document proposes a Multi-task Correlation Particle Filter (MCPF) for robust visual object tracking. 2) The MCPF exploits the strengths of multi-task correlation filters and particle filters by learning correlation filters jointly across different features and using particle sampling to effectively handle scale variations. 3) Experimental results on benchmark datasets show the MCPF performs favorably against state-of-the-art trackers in terms of accuracy, efficiency and robustness.

Author

haris

Language

EN