Table 8.

Accuracy comparison of the proposed approach with SOTA vehicle tracking models.

Methods	Accuracy %
	VEDAI	SRTID	VAID	UAVDT
Faster R-CNN (du Terrail and Jurie, 2018)	83.50	78.0	81.0	79.5
Correlation filter tracking (Liu et al., 2019)	76.0	72.5	70.0	74.0
SIFT features (Mu et al., 2016)	72.5	75.10	73.0	71.0
HIOU (Hua and Anastasiu, 2019)	70.0	77.0	69.5	71.5
Kalman filter (Poostchi et al., 2017)	68.0	66.5	65.0	67.5
CNN (Alotaibi et al., 2020)	69.4	71.0	82.0	70.0
Affinity network (Cao et al., 2022)	73.2	74.0	71.5	74.0
MaSiamRPN (Sun et al., 2023)	82.0	79.1	83.0	84.0
Proposed method	88.6	82.2	84.6	86.1