Survey on Strategies for Solving Target Overlap Issues in Multi-Object Tracking

With the development of artificial intelligence and related fields, technologies for image recognition and tracking objects have been continuously innovating. Starting from the initial single-object tracking, through numerous research improvements, multi-object tracking technology has been applied in various fields today, such as autonomous vehicles, security surveillance, and industrial automation production lines, all of which require the capability of multi-object tracking. Multi-object tracking technology can accomplish tasks that people cannot, significantly improving work efficiency and accuracy, greatly facilitating people's lives. However, it also faces many challenges, one of which is the target overlap problem during tracking, which largely affects the tracking effect. This paper will introduce several solutions and conduct a simple analysis and comparison. Existing methods are basically starting from the causes of target overlap, solving the problem at its source. It is believed that there will be more and better solutions to this problem in the future, ultimately making the multi-object tracking process smoother and more accurate.