Target Tracking Research Hotspots and Frontier Trends Based on Citespace
Zixuan Li, Xiaolong Li · 2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) · 2021
With the continuous development of artificial intelligence technology, target tracking is a hot problem in the field of computer vision, which has a wide range of application prospects in industrial, military, transportation, medical and other fields. In this paper, Citespace software is used to conduct descriptive statistical analysis and knowledge mapping analysis of target tracking based on domestic CNKI database literature, and to explore the development status and frontier trends in the field of target tracking in China. On this basis, point out three shortcomings of current research: low accuracy of target tracking in complex environments, poor real-time target tracking, and few application directions, and give suggestions to improve algorithm robustness, real-time, accelerate engineering implementation, and focus on future research trends.