2026-05-30T22:54:17Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/150442026-02-03T12:23:08Zcom_10630_2254col_10630_37959

Analyzing interference between RGB-D cameras for human motion tracking Moreno-Dueñas, Francisco Ángel Ruiz-Sarmiento, José Raúl González-Monroy, Javier Fernandez, Mailys González-Jiménez, Antonio Javier Visión por ordenador Multi-camera RGB-D systems are becoming popular as sensor setups in Computer Vision applications but they are prone to cause interference between them, compromising their accuracy. This paper extends previous works on the analysis of the noise introduced by interference with new and more realistic camera configurations and different brands of devices. As expected, the detected noise increases as distance and angle grows, becoming worse when interference is present. Finally, we evaluate the effectiveness of the proposed solutions of using DC vibration motors to mitigate them. The results of this study are being used to assess the effect of interference when applying these setups to human motion tracking. 2018-01-23T09:34:58Z 2018-01-23T09:34:58Z 2018-01-23T09:34:58Z 2018-01-23 conference output https://hdl.handle.net/10630/15044 eng 1st International Conference on Applications of Intelligent Systems (APPIS) Las Palmas de Gran Canaria 8 enero 2018 open access