Recent trends in multicue based visual tracking: A review
作者：
Highlights：
• A comprehensive survey of single/multimodal multicue object tracking.
• Review of traditional multicue methods and categorized into four different category.
• Review of recent deep learning based multicue methods from two different perspective.
• Summarize various single/multimodal benchmark for multicue object tracking.
• Experimental evaluation of state-of-the-arts on various benchmark datasets.
摘要
•A comprehensive survey of single/multimodal multicue object tracking.•Review of traditional multicue methods and categorized into four different category.•Review of recent deep learning based multicue methods from two different perspective.•Summarize various single/multimodal benchmark for multicue object tracking.•Experimental evaluation of state-of-the-arts on various benchmark datasets.
论文关键词：Visual tracking,Multicue,Deep learning,Tracking evaluation,Computer vision
论文评审过程：Received 7 November 2019, Revised 9 June 2020, Accepted 30 June 2020, Available online 19 July 2020, Version of Record 31 July 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113711
