Identity Preserved Tracking (IPT) Dataset

 

Description

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.

Download and Use

The dataset is freely available for non-commercial research use. Please also cite our paper [1] when using the dataset for your research.

[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 2021