Research Article
Scene-Specialized Multitarget Detector with an SMC-PHD Filter and a YOLO Network
Table 1
Comparison between baseline methods and our method.
| Baseline | Detector | Fine-tuned | Computational complexity |
| YOLO [5] | YOLO | — | — | R-CNN [37] | R-CNN | — | — | SMC R-CNN [8] | R-CNN | SMC | | Singh et al. [38] | R-CNN | Track and segment [46] | | Deshmukh and Moh [39] | CNN | Edge detectors | | Kang et al. [40] | Contextual R-CNN | — | — | Maâmatou et al. [10] | SVM | SMC | | STSN [41] | STSN | — | — | SOD [42] | SOD | R101 FPN | | Lee et al. [43] | R-CNN | Auxiliary network | | Jie et al. [44] | R-CNN | Online supportive sample harvesting [44] | | Ghahremani et al. [45] | CNN | F1 score threshold | | SMC-PHD YOLO | YOLO | SMC-PHD | |
|
|