Research Article
Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System
Table 3
The performance of clustering algorithm.
| | Dataset | Tis
| DBSCAN | MeanShift | WaveCluster | | Recall | Precision | Recall | Precision | Recall | Precision |
| | EventSeq-Vehicle1 | 10ms | 53.1% | 60.6% | 44.5% | 41.9% | 44.4% | 49.2% | | EventSeq-Vehicle1 | 20ms | 62.8% | 64.5% | 46.6% | 40.7% | 63.1% | 64.4% | | EventSeq-Vehicle1 | 30ms | 61.9% | 61.9% | 44.3% | 40.7% | 61.8% | 64.9% |
| | EventSeq-Vehicle2 | 10ms | 46.4% | 51.9% | 39.8% | 38.0% | 38.7% | 41.4% | | EventSeq-Vehicle2 | 20ms | 52.3% | 53.3% | 38.3% | 35.0% | 51.9% | 53.0% | | EventSeq-Vehicle2 | 30ms | 46.2% | 47.2% | 33.2% | 33.5% | 47.2% | 52.1% |
| | EventSeq-Vehicle3 | 10ms | 41.1% | 54.4% | 35.1% | 40.1% | 32.1% | 41.8% | | EventSeq-Vehicle3 | 20ms | 49.7% | 59.4% | 35.5% | 36.8% | 49.6% | 58.0% | | EventSeq-Vehicle3 | 30ms | 47.7% | 55.6% | 33.5% | 35.3% | 49.0% | 57.5% |
|
|
