消防外文翻譯--使用ip攝像機(jī)的早期火災(zāi)探測(cè)-資料下載頁(yè)
2025-05-11 21:47本頁(yè)面
【導(dǎo)讀】計(jì)煙的存在是非常重要的。在本文中，我們提出了一種由因特網(wǎng)協(xié)議攝像機(jī)捕。獲利用視頻序列的算法來(lái)檢測(cè)是否存在煙霧，其中一種重要的功能，如探測(cè)煙霧顏色，對(duì)于一個(gè)有效的IP攝像頭平臺(tái)在檢測(cè)煙霧時(shí)，必須直接操作檢測(cè)。該算法間變換的DCT技術(shù)被用來(lái)增加的檢測(cè)精度，而不違背DCT操作。操作降低噪聲，最后確定實(shí)驗(yàn)煙區(qū)的生長(zhǎng)特性。此外，通過(guò)使用連接的組件標(biāo)記技術(shù)。評(píng)價(jià)結(jié)果表明，一個(gè)可行的感煙探測(cè)方法假陰性和假陽(yáng)性錯(cuò)誤率近似相等，分。早期火災(zāi)探測(cè)，可以幫助提醒和防止災(zāi)害產(chǎn)生巨大的經(jīng)濟(jì)損失和人身的傷害。該功能的描述取決于燃燒對(duì)象產(chǎn)生煙的化學(xué)性質(zhì)、火溫度、氧的含量等。最常見的煙霧探測(cè)器是基于紅外或紫外線相機(jī)，而其他檢測(cè)技術(shù)是基于粒。這些系統(tǒng)直到煙粒子或火焰非常接近火災(zāi)。換的能量，然后將這些信息結(jié)合，用來(lái)制作一個(gè)MNN檢測(cè)煙霧的存在。最近IP攝像機(jī)在視頻監(jiān)控中的使用顯著增長(zhǎng)，因?yàn)榛贗P技術(shù)的視頻監(jiān)視系統(tǒng)，在煙霧區(qū)域檢測(cè)階段中，使用每個(gè)DCT塊的DC
【正文】 f the 4 4 coefficients of several consecutive frames, motion and color properties of smoke are analyzed to get the smoke region candidates. The candidate regions are processed using morphological operations to eliminate isolated blocks. Using the connected ponent labeling algorithm, the smoke expansion properties of the candidate regions are analyzed through time to discard nonsmoke regions. . DCT InterTransformation Based Preprocessing As mentioned before, an IP camera module provides DCT blocks of 8 8 coefficients of each frame。 however this block size is too large for accurate analysis of smoke features and it is necessary to use a smaller block size. Traditionally if a DCT block with a size different from a current block size is required, the IDCT must be puted and then a new 11 DCT with the required block size is recalculated. These processes are highly time consuming operations. . Smoke Region Detection Stage In the smoke region detection stage, some smoke block candidates are estimated using the motion and color properties of smoke. This stage receives DCT blocks of Sb Sb coefficients previously calculated by the preprocessing stage of each frame, which is posed of three channels: luminance channel (Y) and two chrominance channels (Cb and Cr). The motion property of smoke is analyzed using only the luminance channel Y, and the smoke color property is analyzed using two chrominance channels Cb and Cr. Color Analysis The color is another important feature of smoke。 therefore this feature has been used monly in several smoke detection algorithms [8,11]. Almost all algorithms used Chen’s smoke color model [1],in which the smoke color is determined using RGB color spacebased rules. The first rule is based other fact that the smoke color is gray, which means intensities of three colorchannels are approximately the same. The second rule determines that the gray intensity must be between 80 and 220. This range indicates that the smoke color is neither so white nor so black. 3 Conclusions In this paper we have proposed an early fire detection scheme using Inter Protocol (IP) camera technology with Motion JPEG (MJPEG) codec, in which the Discrete Cosine Transform (DCT) coefficients of each block of size 8 8 are available as input data. In the proposed scheme, several smoke features, such as motion, color and expansion properties are analyzed directly in the DCT domain, avoiding high timeconsuming inverse DCT operations. To increase the accuracy of smoke property estimation, the DCT Intertransformation [14,15] is introduced as a preprocessing operation, which allows changing the block size from 8 8 to 4 4 without inverse DCT. The proposed scheme is evaluated using 50 video sequences with smoke and other 50 video sequences without 12 smoke, obtaining false positive error rates of about 2% and false negative error rates approximately equal to 4%. The principal reason for the false negative errors occurring in two video sequences with smoke is the great similarity of color between the background and smoke。 this problem may be solved using other IP cameras located in other positions. The proposed algorithm can be implemented in IP camera works, where each IP camera can transmit its analysis results to a C4 operation center to obtain more reliable information about the fire, such as the origin, magnitude, growth speed and orientation, etc.
畢業(yè)設(shè)計(jì)相關(guān)推薦
鄂ICP備17016276號(hào)-1