Research Article
A Study of Feature Combination for Vehicle Detection Based on Image Processing
Table 13
Performance of the proposed ensembles for the far region.
(a) |
| PCA + V-HOG + ++ | Accuracy | Recall | Precision |
| RMM-SA | 97.16 | 97.12 | 97.20 | RMM-WA | 98.34 | 98.24 | 98.44 | DS-SA | 96.98 | 96.85 | 97.12 | DS-WA | 98.16 | 98.28 | 98.04 |
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(b) |
| PCA+V-HOG ++ | Accuracy | Recall | Precision |
| RMM-SA | 98.38 | 97.12 | 95.60 | RMM-WA | 98.14 | 98.35 | 97.92 | DS-SA | 96.14 | 96.88 | 95.36 | DS-WA | 98.18 | 98.39 | 97.96 |
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|
(c) |
| PCA+V-HOG + | Accuracy | Recall | Precision |
| RMM-SA | 94.52 | 96.81 | 92.08 | RMM-WA | 97.34 | 98.85 | 95.80 | DS-SA | 94.24 | 96.67 | 91.64 | DS-WA | 97.42 | 98.85 | 95.96 |
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|
(d) |
| PCA + + | Accuracy | Recall | Precision |
| RMM-SA | 94.52 | 94.67 | 94.36 | RMM-WA | 96.76 | 95.95 | 97.64 | DS-SA | 94.22 | 94.42 | 94.00 | DS-WA | 96.76 | 95.92 | 97.68 |
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|
(e) |
| PCA+V-HOG+ | Accuracy | Recall | Precision |
| RMM-SA | 97.22 | 98.05 | 96.36 | RMM-WA | 97.26 | 97.97 | 96.52 | DS-SA | 97.24 | 98.09 | 96.36 | DS-WA | 97.24 | 98.01 | 96.44 |
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