Figure 1. Flowchart of proposed algorithm.
Figure 2. Faster R-CNN system flow.
Figure 3. Example of labeling area for fire and smoke dataset image.
Figure 4. The architecture of Faster R-CNN.
Figure 6. The experimental results using the Faster R-CNN, (a) the results of true positive, (b) the results of false positive (fixed object), (c) the results of false positive (moving object).
Figure 7. The example of other videos test for the proposed algorithm.
Figure 5. Example of the fire and smoke frame sequence of test videos.
Table 1. The results of video test using general Faster R-CNN
Table 2. The results of video test using prosed algorithm
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