Research on Target Tracking Algorithm Based on Correlation Filtering

Abstract

Abstract Target tracking has always been an important research direction in the field of computer vision. The target tracking method based on correlation filtering has become a research hotspot in the field of target tracking due to its efficiency and robustness. In recent years, a series of new progress has been made in this field, and it has been widely used in automatic driving,video surveillance, human-computer interaction, national defense security and other fields. Mainly summarize the research status in this field. First of all, the main components and research difficulties of current target tracking are introduced. Secondly, the algorithm of target tracking based on correlation filtering is introduced, and the development of the classical algorithm model and its existing problems are analyzed in detail. Finally, some views on the future research direction and development trend of related filtering algorithms are given.