河北科技大学信息科学与工程学院;
针对复杂场景下目标外观变化明显、运动不规律易导致轨迹中断和身份切换频繁等问题，从重识别(Re-Identification, Re-ID)特征、数据关联和插值等方面对跟踪器进行改进，提出基于改进CStrack关联策略的多目标跟踪算法。使用外观特征更新模块，减小因视角改变、目标移动导致特征剧烈变化而产生的影响，增强特征间的关联。提出二次关联方法，根据高低置信度检测结果的特点，使用不同的度量方式进行二次关联：第一次关联使用IoU距离融合外观特征作为关联的代价矩阵，第二次使用扩展IoU关联，缓解运动估计偏差、外观不可区分导致度量失效的问题；采用高斯回归算法，考虑运动信息，通过插值补偿漏检。在MOT17、MOT20数据集上进行测试，跟踪精度分别达到73.9%、64.2%。实验结果表明，该方法在跟踪精度上有明显优势，能够较好地适应复杂场景。
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基本信息:
DOI：
中图分类号:TP391.41
引用信息:
[1]苏佳,冯康康,孟俊彤等.基于改进CStrack关联策略的多目标跟踪算法[J].无线电工程,2024,54(03):597-606.
基金信息:
国家自然科学基金青年科学基金项目(62105093); 装备预研重点实验室基金项目(6142A010301)~~