Algorithms Based On Correlation Filter In Target Tracking: A Survey

As an important field of computer vision, target tracking has been widely used in artificial intelligence fields such as intelligent manufacturing and intelligent transportation. As one of the classics, the single-target tracking algorithm based on correlation filtering is widely praised for its good real-time and robustness. However, it has disadvantages in scale changes and boundary effects, and many researchers have improved it. This article introduces the single-target tracking algorithm based on correlation filtering, and compares its experimental results through the OTB database.