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Accelerometer is one of the essential components of Inertial Measurement Units. Due to the issues in manufacturing process and sensor installation, errors are introduced into measurements as results of non-orthogonal error, scale error, zero bias and misalignment. Raw readings without calibration might seriously affect the accuracy of inertial navigation system. In order to obtain accurate attitude...
In order to resolve the poor performance of color-based tracker for the fast rotating object in low-resolution vision, the search region of the tracker needs enlarging to a great extent, and the tracking loop requires setting to several times in very frame. Moreover, the states of the tracked object in high-resolution vision can be estimated from its incomplete observations in low-resolution vision...
If the Kalman filter is effective to enhance the CAMSHIFT tracker in the low-resolution image sequence, the state-space model (SSM) that the Kalman filter is based on needs satisfying three stochastic conditions: (1) the observation noise is relatively small; (2) the state noise and observation noise are independent to each other; (3) the distribution of the observation noise is near to Gaussian distribution...
A novel image restoration method is proposed to resolve a problem that the traditional restoration method performs poorly when the kind of image degradation model from high- to low-resolution is unconfirmed. In this paper, the proposed method includes a conceptual frame of state space model (SSM) in order to achieve a general model for accurately estimating the high-resolution image sequence from...
In this paper, the proposed method includes a conceptual frame of state space model (SSM) in order to achieve a general model for accurately estimating the high-resolution image sequence from its incomplete low-resolution observation sequence. Here the parameters of SSM are calculated by a statistic approach - maximum likelihood (ML) estimator. By using the most effective filter of SSM - Kalman filter...
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