disl/my_dataset
This is the Wildtrack dataset. Annotations: Frame annotations are in the folder “annotations_positions”. Corresponding images from 7 cameras are in the folder “Image_subsets”. In order to recover the 3D location of the target, you have to use the following information. The “positionID” in .json files are indexed on a 480x1440 grid, X-first, with a 2.5cm spacing. The origin is (-3.0,-9.0) Therefore, X = -3.0 + 0.025ID%480 Y = -9.0 + 0.025ID/480 The file “rectangles.pom” gives correspondence… See the full description on the dataset page: https://huggingface.co/datasets/disl/my_dataset.
This is the Wildtrack dataset.
Annotations: Frame annotations are in the folder “annotationspositions”. Corresponding images from 7 cameras are in the folder “Imagesubsets”.
In order to recover the 3D location of the target, you have to use the following information.
The “positionID” in .json files are indexed on a 480x1440 grid, X-first, with a 2.5cm spacing. The origin is (-3.0,-9.0) Therefore,
X = -3.0 + 0.025ID%480 Y = -9.0 + 0.025ID/480
The file “rectangles.pom” gives correspondence between rectangle IDs and 2D bounding boxes on each camera.
This files is needed to run algorithms such as https://github.com/pierrebaque/DeepOcclusion
It can be reproduced using https://github.com/pierrebaque/generatePOMfile
Camera calibrations: You will find camera calibrations in the folder “calibrations”. “extrinsic” contains extrinsic camera calibrations “intrinsiczero” contains intrinsic calibrations for the images which have been undistorted. These are the ones which should be used for the images provided in this dataset. “intrinsicoriginal” contains calibrations for the original images and the original video, which we can provide if you ask.
If you use this dataset, please cite the paper: “The WILDTRACK Multi-Camera Person Dataset.” T.Chavdarova et al.
https://arxiv.org/pdf/1707.09299.pdf
If you need more unlabelled data, please contact us.