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. 2024 Feb 11;24(4):1181. doi: 10.3390/s24041181

Table 1.

The performance of existing algorithms is shown.

No. Existing Algorithms Advantages Drawbacks
1. YOLO_SORT Efficient tracking of multiple objects. Susceptibility to identity switches in crowded scenes.
2. CenterNet_
DeepSORT
Improved tracking accuracy through deep learning. May struggle with occlusions in crowded scenes.
3. YOLOv4_DeepSORT Enhanced tracking accuracy with Kalman filter integration. Increased computational complexity due to filter usage and struggle with occlusions.
4. Probability Gradient Pattern (PGP) Offers robustness to noise and varying illumination. Limited effectiveness in scenes with complex backgrounds and extensive occlusions.
5. LIBS_GMM Effective in changing lighting conditions Limited capability to handle complex background scenes with extensive occlusions.