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Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a set of sub-filters trained based on a single or a small group of images obtains the best performance. The idea is equivalent to estimating variable distribution based on the data sampling (bagging), which can be interpreted...
The markerless vision-based human motion parameters capturing has been widely applied for human-machine interface. However, it faces two problems: the high-dimensional parameter estimation and the self-occlusion. Here, we propose a 3-D human model with structural, kinematic, and temporal constraints to track a walking human object in any viewing direction. Our method modifies the Annealed Particle...
In radio navigation system working on medium-short wave band, serious multipath interference and atmosphere noise make the precision of code tracking loop decrease. In order to improve the positioning precision, carrier phase measurement is generally adopted, but carrier ambiguity resolution is a key problem. Based on the analysis of multipath error of code tracking loop, a carrier ambiguity resolution...
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