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            <title xml:lang="en">A Kriging-based Interacting Particle Kalman Filter for the simultaneous estimation of temperature and emissivity in Infra-Red imaging</title>
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                <title xml:lang="en">A Kriging-based Interacting Particle Kalman Filter for the simultaneous estimation of temperature and emissivity in Infra-Red imaging</title>
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                <term xml:lang="en">Physical parameters</term>
                <term xml:lang="en">Thermal Infrared imaging</term>
                <term xml:lang="en">Kriging</term>
                <term xml:lang="en">Kalman filtering</term>
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              <p>Temperature estimation through infrared thermography is facing the lack of knowledge of the observed material's emissivity. The derivation of the physical equations lead to an ill-posed problem. A new Kriged Interacting Particle Kalman Filter is proposed. A state space model relates the measurements to the temperature and the Kalman filter equations yield a filter tracking the temperature over time. Moreover, a particle filter associated to Kriging prediction is interacting with a bank of Kalman filters to estimate the time-varying parameters of the system. The efficiency of the algorithm is tested on a simulated sequence of infrared thermal images.</p>
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