Multi-target Tracking Filters and Data Association: A Survey
Taek Lyul Song · Journal of Institute of Control Robotics and Systems · 2014
This paper is to survey and put in perspective the working methods of multi-target tracking in clutter. This paper includes theories and practices for data association and related filter structures and is motivated by increasing interest in the area of target tracking, security, surveillance, and multi-sensor data fusion. It is hoped that it will be useful in view of taking into consideration a full understanding of existing techniques before using them in practice.