Long-term Correlation Tracking using Multi-layer Hybrid Features in Sparse and Dense Environments

Tracking a target of interest in both sparse and crowded environments is a challenging problem, not yet successfully addressed in the literature. In this paper, we propose a new long-term visual tracking algorithm, learning discriminative correlation filters and using an online classifier, to track a target of interest in both sparse and crowded video sequences... (read more)

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