发表机构
University of Exeter（埃克塞特大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对ByteTrack在遮挡下易发生身份切换的问题，提出ByteTraX，通过统一匹配阈值和严格轨迹启动标准优化跟踪，在多个基准上HOTA、IDF1和FPS提升，身份切换减少>40%。
AI 中文摘要
ByteTrack算法是一种广泛使用且计算高效的多目标跟踪架构。其核心创新在于将宽松的边界框关联与轨迹片段相似性匹配相结合，以稳健地处理目标遮挡问题。然而，该策略仍然容易受到错误的轨迹重分类和身份切换的影响，因为检测置信度分数决定了关联优先级。为了解决这个问题，我提出了一种对ByteTrack架构的简单增强，名为ByteTraX，它通过单一统一匹配阈值优化轨迹连续性，同时通过严格的轨迹启动标准惩罚身份切换。该方法在包括GMOT-40、LC-MOT、SportsMOT、TeamTrack、DAMUNT和DeepSea-MOT在内的多个多样化基准上实现了持续改进的性能，同时将处理速度提高了>10%。具体而言，结果表明身份切换减少了>40%，HOTA平均增加3.6，IDF1平均增加5.6，FPS平均增加6.3。因此，采用ByteTraX算法有望在保留实时部署所需效率的同时，显著提升相对于ByteTrack基线的跟踪性能。为便于使用，我通过开源仓库提供了源代码、YOLO系列目标检测模型的集成功能以及部署说明。
英文摘要
The ByteTrack algorithm is a widely used and computationally efficient multi-object tracking architecture. Its core innovation lies in the combination of lenient bounding box associations with tracklet similarity matching to robustly deal with object occlusions. However, this strategy is nevertheless vulnerable to erroneous track reclassification and identity switching, as detection confidence scores dictate association priority. To address this, I present a simple enhancement of the ByteTrack architecture--named ByteTraX--that optimises track continuity via a single unified matching threshold, while penalising identity switches through stringent track initiation criteria. This approach achieves consistently improved performance across a range of diverse benchmarks including GMOT-40, LC-MOT, SportsMOT, TeamTrack, DAMUNT, and DeepSea-MOT, while simultaneously increasing processing speed by >10%. Specifically, results demonstrate a >40% reduction in identity switches, accompanied by mean increases in HOTA of 3.6, IDF1 of 5.6, and FPS of 6.3. As such, adoption of the ByteTraX algorithm has the potential to substantially enhance tracking performance over the ByteTrack baseline, while retaining the efficiency needed for real-time deployment. To facilitate usage, I provide the source code, integration functionality for the YOLO family of object detection models, and deployment instructions via an open source repository.
