Research Article

Single-Object Tracking Algorithm Based on Two-Step Spatiotemporal Deep Feature Fusion in a Complex Surveillance Scenario

Table 4

Comparison results for the single tracking algorithm.

ModulesObject detectionObject trackingFusion

ModelSSDYOLO-V3DSSTSAMFKCFYOLO-V3 + KCF
CLE (pixel)21.116.917.2713.2814.610.1
OR0.5240.8160.7110.6250.7520.841
Frame rate (FPS)6.58.734.226.146.016.1