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. |