Research Article
Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost
Table 1
Statistical table of processing speed in the direct fusion mode (frames/sec).
| No. | Experiment 1 | Experiment 2 | Experiment 3 | Experiment 4 | No. | Experiment 1 | Experiment 2 | Experiment 3 | Experiment 4 |
| 1 | 1.00 | 0.94 | 1.22 | 0.91 | 51 | 0.98 | 0.96 | 1.20 | 0.91 | 2 | 0.99 | 0.94 | 1.20 | 0.89 | 52 | 0.99 | 0.95 | 1.21 | 0.92 | 3 | 0.98 | 0.95 | 1.20 | 0.92 | 53 | 1.01 | 0.94 | 1.20 | 0.90 | 4 | 1.01 | 0.95 | 1.20 | 0.88 | 54 | 0.99 | 0.94 | 1.21 | 0.88 | 5 | 1.01 | 0.95 | 1.19 | 0.91 | 55 | 1.01 | 0.95 | 1.20 | 0.90 | 6 | 1.01 | 0.95 | 1.22 | 0.92 | 56 | 0.98 | 0.95 | 1.22 | 0.89 | 7 | 1.00 | 0.96 | 1.20 | 0.89 | 57 | 1.00 | 0.95 | 1.19 | 0.92 | 8 | 1.00 | 0.95 | 1.20 | 0.89 | 58 | 1.02 | 0.95 | 1.19 | 0.90 | 9 | 0.99 | 0.96 | 1.19 | 0.90 | 59 | 1.01 | 0.95 | 1.19 | 0.88 | 10 | 0.98 | 0.95 | 1.20 | 0.88 | 60 | 1.01 | 0.96 | 1.21 | 0.89 | 11 | 1.02 | 0.96 | 1.21 | 0.91 | 61 | 1.00 | 0.95 | 1.20 | 0.89 | 12 | 0.98 | 0.96 | 1.20 | 0.90 | 62 | 0.99 | 0.96 | 1.22 | 0.88 | 13 | 0.98 | 0.94 | 1.20 | 0.91 | 63 | 1.00 | 0.95 | 1.22 | 0.89 | 14 | 1.01 | 0.96 | 1.20 | 0.89 | 64 | 0.99 | 0.95 | 1.22 | 0.92 | 15 | 1.02 | 0.96 | 1.20 | 0.91 | 65 | 1.00 | 0.96 | 1.22 | 0.91 | 16 | 1.02 | 0.95 | 1.21 | 0.91 | 66 | 0.98 | 0.95 | 1.20 | 0.90 | 17 | 1.01 | 0.94 | 1.19 | 0.92 | 67 | 1.00 | 0.95 | 1.19 | 0.88 | 18 | 1.01 | 0.95 | 1.21 | 0.88 | 68 | 0.99 | 0.94 | 1.19 | 0.90 | 19 | 1.01 | 0.96 | 1.21 | 0.91 | 69 | 0.99 | 0.96 | 1.20 | 0.91 | 20 | 1.00 | 0.94 | 1.20 | 0.91 | 70 | 1.00 | 0.95 | 1.21 | 0.91 | 21 | 1.00 | 0.95 | 1.22 | 0.89 | 71 | 1.01 | 0.94 | 1.19 | 0.90 | 22 | 0.99 | 0.95 | 1.22 | 0.90 | 72 | 1.00 | 0.95 | 1.23 | 0.92 | 23 | 1.00 | 0.95 | 1.23 | 0.91 | 73 | 1.01 | 0.95 | 1.21 | 0.90 | 24 | 1.00 | 0.95 | 1.22 | 0.89 | 74 | 1.00 | 0.95 | 1.21 | 0.91 | 25 | 1.02 | 0.96 | 1.22 | 0.89 | 75 | 1.01 | 0.96 | 1.20 | 0.88 | 26 | 0.99 | 0.95 | 1.21 | 0.91 | 76 | 1.02 | 0.95 | 1.21 | 0.90 | 27 | 1.01 | 0.95 | 1.22 | 0.90 | 77 | 1.01 | 0.95 | 1.21 | 0.89 | 28 | 0.98 | 0.94 | 1.22 | 0.90 | 78 | 0.99 | 0.95 | 1.21 | 0.89 | 29 | 0.98 | 0.94 | 1.23 | 0.88 | 79 | 1.00 | 0.95 | 1.23 | 0.91 | 30 | 0.99 | 0.96 | 1.22 | 0.92 | 80 | 1.00 | 0.94 | 1.22 | 0.90 | 31 | 1.02 | 0.94 | 1.20 | 0.90 | 81 | 0.98 | 0.94 | 1.23 | 0.91 | 32 | 0.99 | 0.94 | 1.20 | 0.89 | 82 | 1.00 | 0.94 | 1.22 | 0.89 | 33 | 1.02 | 0.96 | 1.21 | 0.90 | 83 | 0.98 | 0.95 | 1.22 | 0.88 | 34 | 1.02 | 0.94 | 1.19 | 0.91 | 84 | 0.98 | 0.95 | 1.21 | 0.90 | 35 | 0.98 | 0.94 | 1.20 | 0.90 | 85 | 0.98 | 0.95 | 1.20 | 0.89 | 36 | 1.00 | 0.96 | 1.20 | 0.88 | 86 | 0.98 | 0.95 | 1.20 | 0.91 | 37 | 1.00 | 0.96 | 1.20 | 0.91 | 87 | 1.01 | 0.96 | 1.22 | 0.89 | 38 | 1.02 | 0.95 | 1.19 | 0.88 | 88 | 1.02 | 0.95 | 1.22 | 0.89 | 39 | 1.01 | 0.95 | 1.20 | 0.90 | 89 | 1.01 | 0.94 | 1.21 | 0.90 | 40 | 1.01 | 0.96 | 1.19 | 0.88 | 90 | 1.01 | 0.95 | 1.20 | 0.89 | 41 | 0.98 | 0.96 | 1.22 | 0.92 | 91 | 0.99 | 0.94 | 1.19 | 0.90 | 42 | 0.98 | 0.96 | 1.20 | 0.89 | 92 | 1.00 | 0.95 | 1.21 | 0.92 | 43 | 1.00 | 0.95 | 1.21 | 0.90 | 93 | 1.00 | 0.95 | 1.20 | 0.89 | 44 | 1.00 | 0.95 | 1.20 | 0.92 | 94 | 1.01 | 0.95 | 1.23 | 0.89 | 45 | 1.00 | 0.94 | 1.22 | 0.91 | 95 | 0.99 | 0.94 | 1.20 | 0.89 | 46 | 1.02 | 0.95 | 1.20 | 0.88 | 96 | 1.01 | 0.94 | 1.22 | 0.91 | 47 | 1.00 | 0.96 | 1.20 | 0.90 | 97 | 0.99 | 0.96 | 1.19 | 0.92 | 48 | 1.01 | 0.96 | 1.22 | 0.90 | 98 | 0.98 | 0.95 | 1.22 | 0.90 | 49 | 0.99 | 0.95 | 1.20 | 0.90 | 99 | 1.00 | 0.95 | 1.20 | 0.90 | 50 | 1.01 | 0.95 | 1.21 | 0.92 | 100 | 0.99 | 0.95 | 1.19 | 0.89 |
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