Building synthetic simulated environments for configuring and training multi-camera systems for surveillance applications

Autor: Luis Unzueta Irurtia, Nerea Aranjuelo Ansa, Sara García Torres, Oihana Otaegui Madurga, Unai Elordi Hidalgo, Jorge García Castaño

Publikováno v: VISIGRAPP (5: VISAPP)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Scopus-Elsevier

[EN] Synthetic simulated environments are gaining popularity in the Deep Learning Era, as they can alleviate the effort and cost of two critical tasks to build multi-camera systems for surveillance applications: setting up the camera system to cover

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7531830a5ed5fdf21cc0ae04d3dac99f
http://hdl.handle.net/10810/52866