Robust Extrinsic Camera Calibration from Trajectories in Human-Populated Environments
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| Format: | Artículo científico |
| Langue: | en |
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Instituto Politécnico Nacional
2012
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| _version_ | 1876453456419487744 |
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| author | Guillermo Baqueiro Victorín |
| author_facet | Guillermo Baqueiro Victorín |
| contents | Robust Extrinsic Camera Calibration from Trajectories in Human-Populated Environments Guillermo Baqueiro Victorín Jean Bernard Hayet Computación tracking Calibration computer vision videosurveillance and multiple camera systems This paper proposes a novel robust approach to perform inter-camera and ground-camera calibration in the context of visual monitoring of human-populated areas. By supposing that the monitored agents evolve on a single plane and that the cameras intrinsic parameters are known, we use the image trajectories of moving objects as tracked by standard trackers in a RANSAC paradigm to estimate the extrinsic parameters of the different cameras. We illustrate the performance of our algorithm on several challenging experimental setups and compare it to existing approaches. 2012 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61523304007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.16 |
| format | Artículo científico |
| id | redalyc_61523304007 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Robust Extrinsic Camera Calibration from Trajectories in Human-Populated Environments Guillermo Baqueiro Victorín Computación tracking Calibration computer vision videosurveillance and multiple camera systems Robust Extrinsic Camera Calibration from Trajectories in Human-Populated Environments Guillermo Baqueiro Victorín Jean Bernard Hayet Computación tracking Calibration computer vision videosurveillance and multiple camera systems This paper proposes a novel robust approach to perform inter-camera and ground-camera calibration in the context of visual monitoring of human-populated areas. By supposing that the monitored agents evolve on a single plane and that the cameras intrinsic parameters are known, we use the image trajectories of moving objects as tracked by standard trackers in a RANSAC paradigm to estimate the extrinsic parameters of the different cameras. We illustrate the performance of our algorithm on several challenging experimental setups and compare it to existing approaches. 2012 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61523304007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.16 |
| title | Robust Extrinsic Camera Calibration from Trajectories in Human-Populated Environments |
| topic | Computación tracking Calibration computer vision videosurveillance and multiple camera systems |
| url | https://www.redalyc.org/articulo.oa?id=61523304007 |