集成电路与嵌入式系统2026，Vol.26Issue(6)：43-51,9.DOI:10.20193/j.ices2097-4191.2026.0001
基于场景变换目标稳定跟踪系统
Object stable tracking system based on scene change
张碧武 1彭壮 1袁政 1冯春华2
作者信息
- 1. 中国电子科技集团公司 第五十八研究所,无锡 214072
- 2. 武汉工程科技学院 计算机与人工智能学院,武汉 430200
- 折叠
摘要
Abstract
To address the problem of cross-scene object tracking,this paper proposes a scene transformation-based algorithm for stable object tracking.By integrating a feature enhancement module and an object refinement module into the Kernelized Correlation Filter(KCF)algorithm,the contour and detailed information of the target are highlighted.Meanwhile,the U-Net neural network is intro-duced to accurately detect scene boundaries,and a dynamic update and target reacquisition strategy is incorporated into the decision-making framework to ensure stable object tracking.Given that the proposed algorithm fails to meet real-time performance requirements due to increased computational complexity,the Atlas 300I edge computing module is adopted for algorithm acceleration.This approach effectively balances the trade-off between algorithm complexity and tracking performance,improving tracking accuracy while satisfying the real-time constraints of practical engineering applications.The experimental results demonstrate that the proposed algorithm can effectively resolve the issue of tracking drift in cross-scene object tracking scenarios,providing valuable insights for future research in this field.关键词
场景变换/目标增强/边界检测/稳定跟踪/Atlas加速Key words
scene transformation/target enhancement/boundary detection/stable tracking/Atlas acceleration分类
信息技术与安全科学引用本文复制引用
张碧武,彭壮,袁政,冯春华..基于场景变换目标稳定跟踪系统[J].集成电路与嵌入式系统,2026,26(6):43-51,9.
