Fig. 1. Structure of Siamese single-object tracking algorithm based on multiple attention mechanism with response fusion

Fig. 2. Object feature fusion after conv3 downsampling and after conv5

Fig. 3. Structural diagram of the multiple attention mechanism

Fig. 4. Loss function curve during algorithm training

Fig. 5. Algorithm trace flowchart

Fig. 6. Precision and success rate of this algorithm versus other algorithms in the OTB-100 dataset

Fig. 7. Comparison of the success rate of this algorithm with other algorithms for 11 different attribute cases in the OTB-100 dataset

Fig. 8. Tracking results of 6 video sequences for this algorithm vs other algorithms

Fig. 9. Comparison of success rates under ablation experiments