Research Article
An Object Detection Method Using Wavelet Optical Flow and Hybrid Linear-Nonlinear Classifier
Table 3
Detection results of different methods.
| | Video | SIFT | BS | HF | PRO |
| | Cars | | | | | | SFDA | 46.3% | 37.2% | 38.6% | 42.7% | | ODA | 71.0% | 65.6% | 63.0% | 85.1% | | ODP | 58.4% | 55.5% | 59.7% | 67.3% |
| | Coastguard | | | | | | SFDA | 52.9% | 45.2% | 51.8% | 58.4% | | ODA | 74.1% | 68.2% | 72.7% | 79.5% | | ODP | 67.4% | 59.3% | 66.4% | 69.7% |
| | Satellite | | | | | | SFDA | 52.4% | 50.6% | 51.5% | 57.0% | | ODA | 74.9% | 65.2% | 63.1% | 78.9% | | ODP | 66.1% | 59.3% | 61.4% | 70.6% |
| | Running | | | | | | SFDA | 56.6% | 48.4% | 50.6% | 63.8% | | ODA | 75.8% | 63.0% | 68.2% | 86.5% | | ODP | 65.3% | 64.7% | 60.1% | 75.4% |
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