Scene-Specialized Multitarget Detector with an SMC-PHD Filter and a YOLO Network

Table 5

Detection rate for the different datasets with different detections (at 1 FPPI).

Data		SMC-PHD YOLO	YOLO [5]	SMC R-CNN [8]	Kumar [38]	Dalal [39]	STSN [41]	Jie [44]	Ghahremani [45]	Lee [43]	SOD [42]
YoutubeBB	Airplane	0.91	0.81	0.87	0.8	0.8	0.83	0.85	0.86	0.83	0.89
	Bicycle	0.89	0.77	0.86	0.78	0.75	0.82	0.83	0.82	0.84	0.87
	Bird	0.94	0.85	0.92	0.82	0.84	0.87	0.86	0.86	0.88	0.89
	Boat	0.98	0.87	0.96	0.83	0.84	0.89	0.91	0.92	0.93	0.95
	Bus	0.96	0.83	0.95	0.82	0.81	0.89	0.86	0.9	0.92	0.93
	Car	0.98	0.86	0.95	0.84	0.83	0.91	0.92	0.92	0.93	0.94
	Cat	0.94	0.85	0.92	0.82	0.83	0.93	0.91	0.93	0.92	0.95
	Cow	0.98	0.87	0.95	0.86	0.88	0.95	0.96	0.94	0.95	0.96
	Dog	0.92	0.81	0.89	0.80	0.82	0.88	0.91	0.89	0.9	0.88
	Horse	0.96	0.85	0.94	0.86	0.86	0.92	0.9	0.89	0.93	0.95
GOT-10k	Anteater	0.53	0.39	0.41	0.37	0.42	0.52	0.48	0.51	0.49	0.52
	Bird	0.94	0.88	0.92	0.87	0.79	0.86	0.86	0.88	0.89	0.93
	Cat	0.91	0.83	0.90	0.84	0.79	0.84	0.86	0.88	0.9	0.87
	Elephant	0.88	0.73	0.86	0.75	0.70	0.82	0.84	0.87	0.89	0.85
	Boat	0.98	0.87	0.97	0.84	0.84	0.87	0.89	0.92	0.94	0.97
	Goat	0.88	0.72	0.87	0.76	0.69	0.78	0.8	0.83	0.85	0.87
	Horse	0.87	0.71	0.85	0.73	0.75	0.81	0.83	0.84	0.86	0.85
	Lion	0.86	0.73	0.84	0.71	0.77	0.81	0.83	0.84	0.85	0.83
	Car	0.95	0.85	0.91	0.86	0.87	0.85	0.87	0.93	0.94	0.94
	Tank	0.74	0.61	0.68	0.63	0.61	0.63	0.66	0.69	0.71	0.73
MIT	Pedestrian	0.97	0.85	0.93	0.86	0.82	0.91	0.93	0.95	0.94	0.96
	Car	0.95	0.88	0.89	0.93	0.89	0.9	0.92	0.93	0.95	0.96
Average		0.9	0.79	0.87	0.79	0.78	0.84	0.85	0.86	0.87	0.89