Research Article
Object Detection and Movement Tracking Using Tubelets and Faster RCNN Algorithm with Anchor Generation
Table 8
Object detection performance of the proposed approach.
| Methods | Vehicles (%) | Monkey (%) | Deer (%) | Elephant (%) | Bear (%) | Humans (%) | Tiger (%) | Dog (%) |
| Faster RCNN | 0.7813 | 0.8518 | 0.8551 | 0.8419 | 0.7915 | 0.8845 | 0.8688 | 0.8314 | YOLO v3 | 0.8051 | 0.8493 | 0.8918 | 0.8588 | 0.8344 | 0.9145 | 0.8755 | 0.8489 | HyperNet | 0.7988 | 0.8369 | 0.8754 | 0.8635 | 0.7889 | 0.8801 | 0.8655 | 0.8581 | Proposed approach | 0.9311 | 0.8950 | 0.8845 | 0.9798 | 0.9318 | 0.9841 | 0.8845 | 0.8765 |
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