… features to improve the performance of RGBT tracking. We design a modality feature
enhancement module to enhance the feature … , we will describe the training and tracking …

… tracking algorithms. Although tracking algorithms have obtained some achievements, the …
Therefore, a Siameses network tracking method based on feature enhancement is proposed in …

… Secondly, we propose the Feature Confusion Edge Enhancement (FCEE) module, which …
feature edges. After detecting the network output feature map, we propose the adaptive feature …

… , it often requires expensive algorithms to filter … feature tracking robustness and thus reduce
outlier percentage. However the performance evaluation of detection and tracking algorithms …

… proposed tracking algorithm was achieved by introducing the transformer feature enhancement
network … The robustness of the tracking algorithm was further improved. The transformer …

… Target tracking is an application of visual algorithm research with great practical significance
[1]. The long-term single-target tracking algorithm is an important direction in this field [2]. …

… -light UAV object tracking algorithm (SiamLT) that leverages image feature enhancement
and a dynamic template-updating Siamese network. Initially, the algorithm employs an iterative …

… typical feature enhancement methods in single-object tracking. … between the template feature
map and the search feature map. … -object tracking algorithm based on the target information …

… algorithm [24]. As shown in Table 5, compared with the Hungarian algorithm, graph matching
(GM) obtains the improvement of 5.1% in term of IDF1. The reason is that the Hungarian …

… Experimental results show that the proposed algorithm has the success rate index on …
real-time tracking. The expected average overlap index of the proposed algorithm surpasses the …