Wei-xin Xie

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In tracking applications, the target dynamics are usually modeled using Cartesian coordinates, while the measurements obtained by a sensor are reported in polar coordinates. In this case, there are four filters for the target tracking: the Kalman filter with unbiased converted measurements (UCMKF), the extended Kalman filter (EKF), the unscented Kalman(More)
Tracking the target that maneuvers at a variable turn rate is a challenging problem. The traditional solution for this problem is the use of the switching multiple models technique, which includes several dynamic models with different turn rates for matching the motion mode of the target at each point in time. However, the actual motion mode of a target at(More)
Automatic target recognition (ATR) of aircrafts using translation invariant features derived from high range resolution (HRR) profiles and multilayered neural network is presented in this paper. The HRR profile sequences are translation variant in the range resolution cell because of the non-cooperative target maneuvering. The differential power spectrum(More)
Although visual tracking have been greatly improved in the last decade, there are still many challenges that are not fully resolved. Of these challenges, occlusions, which can be long lasting, are often ignored. Under the framework of particle filtering, this paper uses the incremental principal component analysis subspace method to learn an orthogonal(More)
A novel color video optical flow estimation approach based on vector homogeneity analysis is proposed, in which the optical flow equation (OPE) is established by the color constant model (CCM) rather than the brightness constant model (BCM) which is used in ordinary optical flow estimation approaches. In order to solve concisely, the CCM-based OPE is(More)