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We present a novel method for object tracking using global and local states of object in video surveillance application. Most traditional object models using global appearance cannot handle partial occlusion effectively. The unoccluded part of partially visible object retains invariable appearance. Therefore, we introduce global and local dynamics model as our object model to overcome partial occlusion...
Compared with conventional perspective camera, data noise for omnidirectional camera is more serious due to its non-linear projection. For linear estimation of motion parameters with noise corrupted data, it is necessary to establish sufficient number of correspondences and use a appropriate robust technique. In this paper, our interests concentrate on two parts. First, we propose a new method to...
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