Multi-Target Association for UAVs Based on Fused Topology and Visual Features

In this letter, we propose a novel multi-target association algorithm that fuses topological and visual features, and this algorithm improves target discrimination. The fused features are first constructed, and then a similarity calculation method is proposed to aggregate neighbor similarities to the central node based on topological similarity, which can be iterated several times to enhance the differentiation between targets. The experimental results demonstrate the advantages of the proposed algorithm.