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While great success has been demonstrated in numerous tracking algorithm, some challenging problems still remain such as motion, shape deformation and occlusion. In this paper, the proposed algorithm can work robustly to overcome the occlusion and fast movement in real -- world scenarios. A discriminative model based on the Gaussian superpixel model is constructed to descript the change of the target...
In order to track multiple targets with time-varying number of targets, the paper proposed a new feature aided Gaussian mixture probability hypothesis density (FA-GM-PHD) filter, and adopts a modified 2-D assignment algorithm to carry out the data association and manage the tracks in the FA-GM-PHD filter. The target feature information incorporated into the FA-GM-PHD filter is target Doppler and target...
In a three-dimensional (3-D) model-based objects tracking and recognition system, the key problem of objects location is to establish the relationship between 2-D objects image and 3-D model. Based on 3-D model projection and 2-D image feature extraction, a modified Hausdorff distance is used to establish the matching function. The relationship between matching parameters are described with a probability...
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