摘要
Abstract
In response to the issues of low tracking accuracy in video sequences due to factors such as appearance changes,background clutter,and severe occlusions,a novel two-stage adaptive tracking model is proposed.This model includes two phases:target detection and bounding box estimation.In the target detection phase,the model roughly locates the target;in the bounding box estimation phase,the exact position of the target is determined.To address the complexity of video scenes and the challenges of tracking small targets,multi-feature fusion technology is employed to construct a rich target representation.Experimental results show that compared with models such as Simple Online and Realtime Tracking(SORT),Tracktor++,FairMOT,and Transformer,this model demonstrates the best overall performance,effectively balancing the relationship between computational speed and tracking accuracy,and showing good potential for application.关键词
计算机视觉/目标跟踪/目标检测/边界框估计/判别相关滤波器Key words
computer vision/target tracking/object detection/bounding box estimation/Discriminant Correlation Filter(DCF)分类
信息技术与安全科学
