Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter

Table 2

Average precision and miss rates of Figure 9 where A is the average precision and M is the miss rate.

Algorithm	Figure 9(a)	Figure 9(b)	Figure 9(c)	Processing time second/frame
Yolov3	A = 0.73, M = 0.44	A = 0.70, M = 0.42	A = 0.52, M = 0.54	0.16
Custom Yolo	A = 0.73, M = 0.35	A = 0.78, M = 0.22	A = 0.81, M = 0.19	0.1
Mod Yolo	A = 0.84, M = 0.22	A = 0.88, M = 0.18	A = 0.82, M = 0.22	0.17