3944484
doi
10.5281/zenodo.3944484
oai:zenodo.org:3944484
user-cvl
Martin Kampel
TU Wien
Identity Preserved Tracking (IPT) Dataset
Thomas Heitzinger
TU Wien
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
depth data
depth video
person detection
tracking
3d tracking
<p>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.</p>
<p>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].</p>
<p>[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</p>
Zenodo
2020-07-14
info:eu-repo/semantics/other
3944483
user-cvl
1.0
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7172038214
md5:b587a2dc129f775a885496a65af2d913
https://zenodo.org/records/3944484/files/ipt.zip
2867
md5:4c6a88fcfd75799663d8a351fb76766e
https://zenodo.org/records/3944484/files/readme.md
public
10.5281/zenodo.3944483
isVersionOf
doi