Smoke and fire detection device based on videos
A pyrotechnic detection and video technology, which is applied in the field of video-based pyrotechnic detection devices, can solve the problems of no combination use and staying in
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Embodiment 1
[0065] Embodiment 1: as figure 1 , figure 2 , Figure 5 with Figure 8 As shown, the camera in the video-based smoke and fire detection device can be CMOS or CCD, can be an infrared camera or a common camera; wherein the shooting unit 101 will obtain the current image of the monitoring area and submit it to the foreground extraction unit in the data processor 102 for processing (step S201), the foreground extraction unit 102 extracts the foreground area of the current image according to the current image and the background image captured by the photographing unit 101 (the method of adaptive background subtraction model can be used to extract the foreground, that is, by 1. extract the brightness information of the current frame; 2. calculate the binarization threshold; 3. update the background; 4. subtract the background; 5. the step of binarization processing completes the processing of extracting the foreground image to obtain the foreground area of the image.) (step S...
Embodiment 2
[0091] Embodiment 2: as figure 1 , figure 2 , Image 6 with Figure 8 As shown, most of the technical content of this embodiment is the same as that of Embodiment 1, and will not be repeated here, and only the different places will be described.
[0092] In this embodiment, compared with Embodiment 1, the sharp corner detection unit 104 is also used to store the number of sharp corner shapes in the current frame, and the sharp corners in the edge shape of the foreground area in the continuous multiple frames before the current frame have been stored. in the memory of the number of shapes (that is, the same as Figure 5 corresponding, Image 6 Shown in step A added in . ); by the sharp corner feature determination unit 105, the number of sharp corner shapes in the edge shapes of the continuous multi-frame foreground area stored in the memory is compared, when the edge of the foreground area in the continuous multi-frame frame in the memory When the number of sharp corner...
Embodiment 3
[0094] Embodiment 3: as image 3 , Figure 4 , Figure 5 with Figure 8 As shown, this embodiment includes all the technical content of Embodiment 1, and the content already described in Embodiment 1 will not be repeated here, and only the different places will be described.
[0095] Such as image 3 The shooting unit 301, the foreground extraction unit 302, the foreground edge extraction unit 303, the sharp corner detection unit 304, the sharp corner feature determination unit 305, the central motion feature detection unit 308 and the central motion feature determination unit 309 of this embodiment are the same as those in Embodiment 1. The function of unit 101, foreground extraction unit 102, foreground edge extraction unit 103, sharp corner detection unit 104, sharp corner feature judgment unit 105, center motion feature detection unit 106 and center motion feature judgment unit 107 are identical; as Figure 4 S401, S402, S403, S404, S405, S406 and S407 in the steps rea...
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