Research Article
Invariant Hough Random Ferns for Object Detection and Tracking
Table 1
Performance of different methods on the four datasets at recall-precision equal error rate (EER).
| | Methods | UIUC-Single | UIUC-Multi | TUD | Horse |
| | ISM [9] | 97.5% | 95% | 80% | — | | Efficient Subwindow Search [22] | 98.5% | 98.6% | — | — | | Hough Forest (HF) [1] | 98.5% | 98.6% | 86.5% | 83% | | Mutch and Lowe [52] | 99.9% | 90.6% | — | — | | IHRF | 100% | 98.7% | 90% | 89% |
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