Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost

Table 2

Statistical table of processing speed in the frame selection partition fusion mode (frames/sec).

No.	Experiment 1	Experiment 2	Experiment 3	Experiment 4	No.	Experiment 1	Experiment 2	Experiment 3	Experiment 4
1	6.42	5.22	6.81	5.79	51	6.38	5.34	6.71	5.87
2	6.31	5.21	6.78	5.67	52	6.33	5.20	6.87	6.00
3	6.38	5.33	6.88	5.88	53	6.53	5.32	6.88	5.78
4	6.51	5.48	6.75	5.98	54	6.65	5.36	6.78	5.61
5	6.41	5.17	6.75	5.99	55	6.39	5.41	6.81	5.90
6	6.61	5.28	6.86	5.90	56	6.60	5.12	6.78	5.82
7	6.48	5.33	6.74	5.66	57	6.42	5.26	6.82	5.86
8	6.36	5.31	6.82	5.87	58	6.35	5.18	6.74	5.95
9	6.62	5.13	6.87	5.96	59	6.65	5.18	6.87	5.98
10	6.64	5.27	6.88	5.68	60	6.69	5.21	6.84	5.80
11	6.66	5.24	6.78	5.74	61	6.66	5.39	6.81	5.83
12	6.66	5.16	6.89	5.63	62	6.51	5.26	6.80	5.70
13	6.44	5.28	6.88	5.89	63	6.69	5.40	6.89	5.87
14	6.33	5.46	6.81	5.74	64	6.50	5.18	6.79	5.65
15	6.45	5.33	6.82	5.99	65	6.55	5.25	6.77	5.60
16	6.65	5.17	6.71	6.00	66	6.67	5.45	6.89	5.98
17	6.40	5.40	6.82	5.81	67	6.66	5.51	6.82	5.83
18	6.31	5.29	6.76	5.64	68	6.48	5.24	6.81	5.95
19	6.48	5.43	6.85	5.74	69	6.51	5.49	6.84	5.91
20	6.55	5.26	6.81	5.75	70	6.48	5.31	6.81	5.86
21	6.56	5.38	6.90	5.63	71	6.46	5.32	6.82	5.98
22	6.30	5.26	6.83	5.75	72	6.52	5.48	6.90	5.91
23	6.63	5.29	6.79	5.94	73	6.37	5.28	6.70	5.81
24	6.51	5.31	6.85	5.96	74	6.49	5.38	6.85	5.67
25	6.66	5.35	6.90	5.87	75	6.54	5.13	6.71	5.61
26	6.37	5.37	6.73	5.61	76	6.68	5.15	6.74	5.94
27	6.60	5.45	6.72	5.70	77	6.56	5.29	6.73	5.87
28	6.37	5.20	6.75	5.81	78	6.34	5.37	6.84	5.97
29	6.61	5.29	6.75	5.72	79	6.65	5.20	6.80	5.78
30	6.61	5.25	6.87	5.84	80	6.53	5.35	6.75	5.61
31	6.32	5.29	6.70	5.89	81	6.37	5.28	6.85	5.90
32	6.59	5.19	6.86	5.79	82	6.62	5.34	6.76	5.72
33	6.30	5.34	6.89	5.90	83	6.32	5.26	6.79	5.66
34	6.43	5.39	6.71	5.66	84	6.62	5.38	6.71	5.96
35	6.45	5.21	6.79	5.73	85	6.45	5.47	6.73	5.97
36	6.46	5.28	6.78	5.99	86	6.66	5.12	6.70	5.86
37	6.36	5.40	6.89	5.87	87	6.45	5.23	6.84	5.89
38	6.63	5.49	6.76	5.92	88	6.34	5.24	6.76	5.87
39	6.32	5.34	6.83	5.83	89	6.31	5.19	6.72	6.00
40	6.49	5.41	6.71	5.94	90	6.51	5.41	6.71	5.62
41	6.41	5.48	6.80	5.70	91	6.46	5.38	6.82	5.71
42	6.34	5.49	6.87	5.67	92	6.37	5.34	6.76	5.72
43	6.34	5.35	6.75	5.66	93	6.46	5.13	6.74	5.68
44	6.33	5.15	6.77	5.90	94	6.37	5.38	6.79	5.80
45	6.64	5.51	6.77	5.99	95	6.44	5.38	6.88	5.88
46	6.64	5.24	6.88	5.69	96	6.35	5.19	6.73	5.90
47	6.48	5.43	6.76	5.66	97	6.66	5.48	6.77	5.88
48	6.32	5.16	6.75	5.89	98	6.54	5.26	6.76	5.84
49	6.31	5.14	6.80	5.86	99	6.51	5.16	6.76	5.93
50	6.50	5.45	6.71	5.99	100	6.67	5.34	6.75	5.99