Identity Preserved Tracking (IPT) Dataset

The IPT (Identity Preserved Tracking) dataset consisting of 10 sequences of depth data recorded using an Orbbec Astra depth sensor. It features sequences in ten different locations with a high amount of background variation and is designed to be applicable to a wide range of tasks. Its labeling is versatile, allowing for tracking in either 3d space or image coordinates. Next to frame-by-frame 3d and inferred bounding box labeling we provide supplementary annotation of camera poses and room layouts, split in multiple semantically distinct categories. Intended use-cases are applications where both a high level understanding of scene understanding and privacy are central points of consideration, such as active and assisted living (AAL), security and industrial safety. This database may be used for non-commercial research purpose only. If you publish material based on this database, we request that you include a reference to our paper [1]. [1] Heitzinger T. and Kampel M. “IPT: A Dataset for Identity Preserved Tracking in Closed Domains”, in Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, January 2021IPT（Identity Preserved Tracking，身份保留跟踪）数据集包含10段由奥比中光（Orbbec）Astra深度传感器采集的深度数据序列。该数据集涵盖10个不同采集场景，背景变化丰富，适用于多种任务。其标注方式灵活多样，支持在三维空间或图像坐标系中开展目标跟踪。除逐帧三维标注与推理生成的边界框标注外，我们还提供相机位姿与房间布局的补充标注，并将其划分为多个语义明确的类别。该数据集的目标应用场景为同时需要高水平场景理解与隐私保护的任务，例如主动与辅助生活（Active and Assisted Living, AAL）、安防与工业安全。本数据集仅可用于非商业研究用途。若基于本数据集发表相关研究成果，请务必引用我们的论文[1]。[1] Heitzinger T. 与 Kampel M.：《IPT：面向封闭域身份保留跟踪的数据集》，发表于第25届国际模式识别会议（ICPR），意大利米兰，2021年1月。