Estimating Distances Between People using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight
Unobtrusive monitoring of distances between people indoors is a useful tool in the fight against pandemics. A natural resource to accomplish this are surveillance cameras. Unlike previous distance estimation methods, we use a single, overhead, fisheye camera with wide area coverage and propose two a...
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| Veröffentlicht in: | arXiv.org 2023-03 |
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| creator | Lu, Zhangchi Cokbas, Mertcan Prakash Ishwar Jansuz Konrad |
| description | Unobtrusive monitoring of distances between people indoors is a useful tool in the fight against pandemics. A natural resource to accomplish this are surveillance cameras. Unlike previous distance estimation methods, we use a single, overhead, fisheye camera with wide area coverage and propose two approaches. One method leverages a geometric model of the fisheye lens, whereas the other method uses a neural network to predict the 3D-world distance from people-locations in a fisheye image. To evaluate our algorithms, we collected a first-of-its-kind dataset using single fisheye camera, that comprises a wide range of distances between people (1-58 ft) and will be made publicly available. The algorithms achieve 1-2 ft distance error and over 95% accuracy in detecting social-distance violations. |
| doi_str_mv | 10.48550/arxiv.2303.11520 |
| format | Article |
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| subjects | Algorithms Cameras Computer Science - Computer Vision and Pattern Recognition Estimation Fisheye views Natural resources Neural networks |
| title | Estimating Distances Between People using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight |
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