Research Article
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 |
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