消防外文翻譯--使用ip攝像機(jī)的早期火災(zāi)探測(cè)-文庫吧
2025-04-16 21:47 本頁面
【正文】 作為 一個(gè)新的 DCT 重新計(jì)算。 這些過程是非常耗時(shí)的操作。 煙霧區(qū)偵查階段 在濃煙區(qū)域檢測(cè)階段，一些 實(shí)驗(yàn) 煙塊 使用運(yùn)動(dòng) 和顏色屬性的煙霧。此階段接收的 S的 DCT塊 Sb S b 每個(gè)幀在預(yù)處理階段 以前 的 系數(shù)，這是由三個(gè)通道組成的：亮度計(jì)算通道（ Y）和兩個(gè)色度通道（ C b 和 C r）。 煙色分析 顏色是煙霧的另一個(gè)重要特征，因此該功能已被常用于幾個(gè)煙霧探測(cè)算法 [8，11]。幾乎所有的算法使用了陳的煙色模型 [1]，煙色是使用 RGB色彩空間為基礎(chǔ)的規(guī)則來確定。第一條規(guī)則是基于事實(shí) 即： 煙霧的顏色是灰色的，表示三個(gè)顏色通道的強(qiáng)度約是相同的。第二條規(guī)則確定的灰度值必須介于 80 和 220。這個(gè)范圍表明煙霧的顏色既不是白色的也不這么黑 的 。 3 結(jié)論 在本文中，我們提出了一種 使用互聯(lián)網(wǎng)協(xié)議（ IP）攝像機(jī)技術(shù)的 Motion JPEG（ MJPEG）編解碼器進(jìn)行 早期火災(zāi)探測(cè)計(jì)劃 。 其中離散余弦變換（ DCT） 把 每個(gè) 大小為 8 8 的 塊的系數(shù)作為輸入數(shù)據(jù)。 在提出的方案中 ， 幾個(gè)煙特性 ， 比如運(yùn)動(dòng)、顏色和膨脹特性直接在 DCT 域進(jìn)行了分析 ， 避免高耗時(shí)的逆離散馀弦轉(zhuǎn)換操作。 如要 5 提高精度可 引入 DCT變換間 [14， 15]作為預(yù)處理操作，這可以改變塊大小從 8 8到4 4， 并且 沒有逆 DCT。擬議計(jì)劃 的 50 個(gè)視頻序列沒有硝煙的煙霧和其他 50 個(gè)視頻序列評(píng)估，取得假陽性錯(cuò)誤率約 2％ ， 假陰性錯(cuò)誤率約等于 4％。假陰性錯(cuò)誤發(fā)生在兩個(gè) 視頻序列主原因 是 煙的 顏 色與背景之間的煙霧相似性 很大 ，這個(gè)問題可能會(huì) 使用位于其他位置的其他 IP 攝像機(jī) 解決。該算法可以 在網(wǎng)絡(luò)攝像機(jī)網(wǎng)絡(luò) 實(shí)現(xiàn)，其中每個(gè) IP 攝像機(jī)可以傳輸其分析結(jié)果的 C4 操作中心獲得更可靠的信息，如有關(guān)火災(zāi)的起源 、 規(guī)模 、 增長(zhǎng)速度和方向等 。 6 An Early Fire Detection Using IP Cameras Sensors ISSN 14248220 2020,12,56705686 Abstract: The presence of smoke is the first symptom of fire。 therefore to achieve early fire detection, accurate and quick estimation of the presence of smoke is very important. In this paper we propose an algorithm to detect the presence of smoke using video sequences captured by Inter Protocol (IP) cameras, in which important features of smoke, such as color, motion and growth properties are employed. For an efficient smoke detection in the IP camera platform, a detection algorithm must operate directly in the Discrete Cosine Transform (DCT) domain to reduce putational cost, avoiding a plete decoding process required for algorithms that operate in spatial domain. In the proposed algorithm the DCT Intertransformation technique is used to increase the detection accuracy without inverse DCT operation. In the proposed scheme, firstly the candidate smoke regions are estimated using motion and color smoke properties。 next using morphological operations the noise is reduced. Finally the growth properties of the candidate smoke regions are furthermore analyzed through time using the connected ponent labeling technique. Evaluation results show that a feasible smoke detection method with false negative and false positive error rates approximately equal to 4% and 2%, respectively, is obtained. Keywords: early fire detection。 smoke detection。 DCT。 DCT intertransformation。 video surveillance。 IP camera 1. Introduction Early fire detection can help to alert of and prevent disasters that generate great economic damages and human losses. The bustion of objects usually begins with the emission of smoke, even before catching fire。 therefore the presence of smoke is an essential factor for early fire detection. The features that describe the smoke depend on chemical properties of the busting object, the fire temperature, the amount of oxygen, and so on. Generally the smoke color range goes from white to whitebluish when the 7 bustion temperature is low, and from gray to black when the temperature rises to ignition. The most mon smoke detectors are based on infrared or ultraviolet cameras, while other detection techniques are based on the analysis of particles, temperature, relative humidity and air transparency. Those systems are activated until the smoke particles or flames are very close to the fire detector device, moreover those devices cannot provide more information regarding to the exact location of fire, magnitude, growth rate and so on [1
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