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To achieve the goal of intelligent motion perception effort has been spent on visual object tracking, which is one of the most important research topics in computer vision. Visual video tracking includes object detection and tracking which are closely related process. Object detection involves verifying the presence of object and object tracking is monitoring object's spatial and temporal changes...
This work presents an ensemble-based visual object tracker called KFebT. This method can fuse using a Kalman Filter the result of several out-of-the box trackers or specialist methods that solve parts of the problem, like methods that only estimate the target scale variation. Our purpose in joining multiple trackers is to take advantage of the different strengths and weaknesses of each approach. The...
Appearance modelling and tracking strategy are two fundamental problems in visual object tracking. In this paper, the appearance of the object is modeled by a spatial context based bag of multiple models (BMM). The BMM keeps multiple hypotheses and utilizes spatial information to perform tracking. Furthermore, a novel Bayesian Kalman filter is used as the tracking strategy to handle fast movement...
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