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该项目解决多人姿势跟踪问题,该任务旨在估计和跟踪视频中的人体关键点。该项目提出一种姿势指导的检测跟踪框架,该框架将姿势信息融合到视频人体检测和数据关联过程中。具体来说,模型采用姿势引导的单个对象跟踪器来利用时间信息弥补视频人体检测阶段中的缺失检测。此外,在数据关联阶段,提出了一种基于分层姿态指导的图卷积网络(PoseGCN)外观判别模型,基于GCN的模型利用人与人之间的结构关系来增强人体的表征性。

Python C C++ Cuda Cython other