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Orbbec Astra深度传感器采集的深度序列数据。该数据集覆盖10个不同场景，背景变化丰富，可应用于多种任务场景。其标注方式灵活多样，支持三维空间或图像坐标系下的目标跟踪。除逐帧三维标注与推断边界框标注外，我们还提供相机位姿与房间布局的补充标注，且该类标注被划分为多个语义独立的类别。本数据集的适用场景聚焦于同时需要高精度场景理解与隐私保护的核心需求，例如主动与辅助生活（Active and Assisted Living, AAL）、安防及工业安全领域。本数据集仅可用于非商业性研究用途。若基于本数据集发表相关研究成果，请务必引用本文献[1]。[1] Heitzinger T.、Kampel M.：《IPT：封闭域内身份保留跟踪数据集》，收录于第25届国际模式识别会议（International Conference on Pattern Recognition, ICPR）论文集，意大利米兰，2021年1月。