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Correlation filter-based tracking methods have been intensively investigated for their high efficiency and robustness. However, a single feature-based tracker cannot adapt to challenging situations, such as severe deformation, rotation, and illumination variations. Besides, a simple linear interpolation-based model updating mechanism is prone to model degradation, and consequently tracker drifting...
How to study more efficiently and maintain the lasting memory of knowledge has long been a contentious hot focus, particularly in the education of Internet era such as the massive open online Courses. Recently, many researchers have pointed out that studying and remembering have good spacing effect, and proposed various models including the effect. However, it does not consider the importance of testing...
Aiming at tracking Closely-Spaced Objects (CSOs) from image observations, a new method using the Probability Hypothesis Density (PHD) filter is proposed. To circumvent the unresolved measurements problem, a detection process is used firstly to extract the connected sets of object pixels that likely correspond to the unresolved targets of interest. Then the representative measurements are constructed...
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