Guoyin Ren, Lü Xiaoqi, Yuhao Li. Multi Face Real-Time Tracking System Based on DTN in Multi Camera Field of View[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0210004
- Laser & Optoelectronics Progress
- Vol. 59, Issue 2, 0210004 (2022)
Fig. 1. Flow chart of CW algorithm
Fig. 2. Improved quadruplet network including two triplet networks
Fig. 3. Training the loss function of WIDER FACE data set
Fig. 4. Side face detection
Fig. 5. Small face detection
Fig. 6. CW algorithm clustering similar face nodes
Fig. 7. Clustering with nodes
Fig. 8. Isosurface display map
Fig. 9. Learning rate varying with epoch
Fig. 10. Total loss varying with epoch
Fig. 11. Accuracy varying with epoch
Fig. 12. Time varying with epoch
Fig. 13. ROC for different networks when subspace number is 5
Fig. 14. ROC for different networks when subspace number is 10
Fig. 15. ROC for different networks when subspace number is 20
Fig. 16. ROC comparison between different networks and FaceNet
Fig. 17. Multi camera face clustering based on Siam16
Fig. 18. Multi camera face tracking results of street view based on Siam16
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Table 1. Performance comparison between CW algorithm and several clustering algorithms
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Table 2. Comparison of recognition rates of multiple detection networks on LFW data set
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Table 3. Performance comparison on GOT-10k validation set
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