The GOTPD1 & GOTPD2 (Geintra Overhead ToF People Detection datasets) are multimodal databases (depth, and infrared data in the case of GOTPD1; and depth, infrared and RGB data in the case of GOTPD2 (RGB only for frontal camera)) of recordings from a Kinect 2 camera located in overhead/frontal position, monitoring people movements under/in front of it, and it was designed to fulfill the following objectives:
The people detection task (and the data provided) can also be extended to practical applications
such as video-surveillance, access control, people flow analysis, behaviour analysis or event capacity
management.
We provide here some video examples generated from recordings from the database (depth only):
You can access full details on the dataset in the corresponding document, and get a data sample (see the documentation for references on file formats). The documents refer mainly to the GOTPD1 dataset.
If you want to get a copy of the datasets, please contact or download it from kaggle. Suplemental data (23 additional sequences) that we have used to extend the GOTPD1 data to face DNN based approaches can be found at this additional link (we stored it there as kaggle does not support datasets over 20Gbytes).
GEINTRA Overhead ToF People Detection (GOTPD1&GOTPD2) Databases by Javier Macias-Guarasa, Cristina Losada-Gutierrez, David Fuentes-Jimenez, Raquel Garcia-Jimenez, Carlos A. Luna, Alvaro Fernandez-Rincon, and Manuel Mazo is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
If you make use of this databases and/or its related documentation, you are kindly requested to cite the paper:
Attachment | Size |
---|---|
usersrandom.mp4 | 18.89 MB |
usersgrouped.mp4 | 5.46 MB |
userfists.mp4 | 4.17 MB |
userchair.mp4 | 4.6 MB |