Data association in multiple object tracking: A survey of recent techniques

作者：

Highlights：

• The study identifies methods used in data association for multiple object tracking.

• An analysis compares the recent techniques applied.

• The discussion illustrates the current research trends in data association.

摘要

•The study identifies methods used in data association for multiple object tracking.•An analysis compares the recent techniques applied.•The discussion illustrates the current research trends in data association.

论文关键词：Data association,Probabilistic association techniques,Hierarchical association techniques,Interactive multiple model,Kalman filter,Multiple object tracking

论文评审过程：Received 19 November 2019, Revised 24 November 2021, Accepted 25 November 2021, Available online 18 December 2021, Version of Record 24 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116300