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Optimal Metric Evaluation-Based Multicue Inverse Sparse Appearance Model for Object Tracking
2020
Mathematical Problems in Engineering
In order to obtain the discriminative compact appearance model for tracking objects effectively, this paper proposes a new structural tracking strategy that includes multicue inverse sparse appearance model and optimal metric evaluation between online robust templates and a limited number of particle samples in the looping process. Multicue inverse sparse appearance model globally improves the efficient selection of informative particle samples that can avoid the cumbersome coding and decoding
doi:10.1155/2020/1248064
fatcat:ubpmpkx64fchxmgddkhvah3dtu