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How to track an arbitrary object in video is one of the main challenges in computer vision, and it has been studied for decades. Based on hand-crafted features, traditional trackers show poor discriminability for complex changes of object appearance. Recently, some trackers based on convolutional neural network (CNN) have shown some promising results by exploiting the rich convolutional features....
In this paper, the problem of estimating the motion and shape parameters from the infrared signature of precession object is addressed. To limit the scope of this work, only objects with shape of flat-plane, cone, cylinder, cone-cylinder combination are considered. Different from the current research, the parameter estimating is based on signal modeling. First, a signal model is proposed to approximate...
This letter presents a method for matching satellite radar altimeter data and transponder data generated during in situ calibration. The transponder generates a measurement error when it measures the arrival time of the altimeter's transmitted signal and embeds the error in both the transponder's recorded data and the altimeter's recorded data. The second-order finite difference sequence of this error...
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