Journal of System Simulation
Abstract
Abstract: To address the need for automatic UAV tracking of moving targets in simulated experiments, this paper proposed a long-term automatic tracking method based on an improved channel and spatial reliability-aware tracker (CSRT) algorithm. The target edge features were detected using the Laplacian of guided filter (LOGF) through guided filtering and then fused with the histogram of oriented gradient (HOG) and color names (CN) features to enhance the algorithm's discriminative ability for the target. To evaluate the target state, the paper used average peak correlation energy and perceptual hash Hamming distance. When the target was occluded, the paper employed YOLOv8 for target localization and fed the localization results back into the tracking algorithm to continue tracking. Simulation results demonstrate that the algorithm can maintain long-term stable tracking of the target even when the target is occluded in the constructed simulation environment, providing a favorable simulation experimental environment for the research on UAV target tracking algorithms.
Recommended Citation
Li, Xinyi; Wang, Zhenfei; and Wu, Han
(2026)
"Research on UAV Target Tracking Algorithm for Simulation Scenarios,"
Journal of System Simulation: Vol. 38:
Iss.
2, Article 8.
DOI: 10.16182/j.issn1004731x.joss.24-1159
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss2/8
First Page
346
Last Page
359
CLC
TP391.9
Recommended Citation
Li Xinyi, Wang Zhenfei, Wu Han. Research on UAV Target Tracking Algorithm for Simulation Scenarios[J]. Journal of System Simulation, 2026, 38(2): 346-359.
DOI
10.16182/j.issn1004731x.joss.24-1159
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