Comparative Study on Correlation Filtering Algorithms for Sea Surface Target Tracking

Abstract

Aiming at the target tracking problem of optoelectronic tracking system for border and coastal defense facing various challenges on the sea surface, by comprehensively evaluating the tracking effect of several typical correlation filtering algorithms, this paper provides the basis for improving the target tracking algorithm. Firstly, the research status and basic theory of target tracking algorithm based on correlation filtering are introduced. Then, four representative correlation filtering tracking algorithms are described in detail, including KCF algorithm, SAMF algorithm, SRDCF algorithm and ECO algorithm. Finally, multiple video sequences of the ship moving at sea level are used as the test set of the tracking algorithm, the accuracy and real-time performance of the algorithms are analyzed qualitatively and quantitatively, which lays the foundation for further improving the target tracking performance.