This repository contains following contents:
- the dataset collected and used in "Object Detection in Equirectangular Panorama"
- the evaluation code (to be added)
- the comparison experiment results
- the annotation tool
Object Detection in Equirectangular Panorama
Wenyan Yang*, Yanlin Qian*, Joni-Kristian Kämäräinen*, Francesco Cricri*, Lixin Fan*
International Conference on Pattern Recognition (ICPR) 2018
It containes three types of the ground truth: BFOV (Bounding FOV), BBox(Bounding box) and 3D-Container frame.
- BFOV (path: 360-Dataset/bbx-annotations/*)
<bndbox>
<xmin>
<ymin>
<xmax>
<ymax>
</BBOX>
- BFOV (path: 360-Dataset/bfov-annotations/*)
<BFOV>
<center_lon> // centre's longitude
<center_lat> // centre's latitude
<bfov_w> // the width's radius
<bfov_h> // the height's radius
</BFOV>
- 3D-Container Frame(path: 360-Dataset/bfov-annotations/*)
<ThreeDbox>
// The 4 vertexes and 1 centre point of the BFOV. Stored in radians
<tl_lon> // top left vertex's longitude.
<tl_lat> // top left vertex's latitude.
<tr_lon> // top right vertex's longitude.
<tr_lat> // top right vertex's latitude.
<br_lon> // bottom right vertex's longitude.
<br_lat> // bottom right vertex's latitude.
<bl_lon> // bottom left vertex's longitude.
<bl_lat> // bottom left vertex's latitude.
<c_lon> // centre's longitude
<c_lat> // centre's latitude.
</ThreeDbox>
Youtube: link
- To visualize the BBOX annotation, some traditional annotation tools are needed (e.g: https://github.com/tzutalin/labelImg)
- To visualize the BFOV annotation, use the tool in folder "/visualize_tool" (open the web browser and load the image and XML file)
To be added
To be added
To be added
This project is licensed under the MIT License - see the LICENSE.md file for details
- Please cite our paper if you find this work is useful.
@INPROCEEDINGS{8546070,
author={W. Yang and Y. Qian and J. Kämäräinen and F. Cricri and L. Fan},
booktitle={2018 24th International Conference on Pattern Recognition (ICPR)},
title={Object Detection in Equirectangular Panorama},
year={2018}
pages={2190-2195},
keywords={Detectors;Distortion;Object detection;Cameras;Image resolution;Virtual reality;Graphics processing units},
doi={10.1109/ICPR.2018.8546070},
ISSN={1051-4651},
month={Aug}
}