Table 6.
Comparison of proposed method with other authors.
| Author/Year [Ref.] | MLA | Metric | Performance | |
|---|---|---|---|---|
| Graphical | Numeric | |||
| Proposed 2016 | Linear SVM | ROC curve | LOOCV, AUC, sensitivity, specificity, precision, accuracy, Fscore | 0.0528, 0.9764, 0.9758, 0.8194, 0.9699, 0.9533, 0.9728 |
| Premebida 2014 [18] | Deformable Part-based Model (DPM) | Precision-Recall curve of the areas of the pedestrian correctly identified. | Authors report a mean | 0.3950 |
| Spinello 2010 [19] | Multiple AdaBoost classifiers | Precision-Recall curve, Equal Error Rates (EER) | Authors report a mean | 0.7760 |
| Navarro-Serment 2010 [20] | Two SVMs in cascade | Precision-Recall and ROC curves | AUC estimate | 0.8500 |
| Ogawa 2011 [21] | Interacting Multiple Model filter | Recognition rate | Authors report a mean | 0.8000 |
| Kidono 2011 [22] | SVM | ROC curve | AUC estimate | 0.9000 |