The visual tracking of an object is a well-known problem, and it involves many fields of applications. Often a single sensor, the camera, could not provide enough information in order to track the whole object trajectory due to a low updating rate; therefore a multi-sensor system, based also on inertial measurements, could be necessary to improve the tracking accuracy. This leads to the fundamental question: how can information from different sensors be combined when they work at different rates? In this paper an approach based on recursive parameter estimation focusing on multi-rate situations is suggested. The problem is here formulated as the state-of-the-art problem of the visual tracking of an object in augmented reality environments. The multi-sensor system consists of a webcam and a 3-axis MEMS inertial sensor both with different sample rates. The augmented reality application has been designed for the object detection problem, and it has been tested experimentally in a suitably developed test set-up.

D'Ippolito, F., Massaro, M., Sferlazza, A. (2016). An adaptive multi-rate system for visual tracking in augmented reality applications. In 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE) (pp.355-361). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISIE.2016.7744916].

An adaptive multi-rate system for visual tracking in augmented reality applications

D'IPPOLITO, Filippo;SFERLAZZA, Antonino
2016-01-01

Abstract

The visual tracking of an object is a well-known problem, and it involves many fields of applications. Often a single sensor, the camera, could not provide enough information in order to track the whole object trajectory due to a low updating rate; therefore a multi-sensor system, based also on inertial measurements, could be necessary to improve the tracking accuracy. This leads to the fundamental question: how can information from different sensors be combined when they work at different rates? In this paper an approach based on recursive parameter estimation focusing on multi-rate situations is suggested. The problem is here formulated as the state-of-the-art problem of the visual tracking of an object in augmented reality environments. The multi-sensor system consists of a webcam and a 3-axis MEMS inertial sensor both with different sample rates. The augmented reality application has been designed for the object detection problem, and it has been tested experimentally in a suitably developed test set-up.
Settore ING-INF/04 - Automatica
giu-2016
25th IEEE International Symposium on Industrial Electronics, ISIE 2016
Santa Clara Convention Center, usa
8-10 June 2016
feb-2016
2016
7
A stampa
https://ieeexplore.ieee.org/document/7744916
D'Ippolito, F., Massaro, M., Sferlazza, A. (2016). An adaptive multi-rate system for visual tracking in augmented reality applications. In 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE) (pp.355-361). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISIE.2016.7744916].
Proceedings (atti dei congressi)
D'Ippolito, F.; Massaro, M.; Sferlazza, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/218197
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