本文選題：視頻監(jiān)控 + 視頻質(zhì)量異常檢測　； 參考：《中山大學(xué)》2014年碩士論文

【摘要】：近年來，隨著安防技術(shù)的不斷發(fā)展以及市場需求的不斷擴大，視頻監(jiān)控系統(tǒng)已成為當(dāng)代社會安全防范中不可或缺的一部分，視頻監(jiān)控以其直觀、準確、及時和信息內(nèi)容豐富而廣泛應(yīng)用于許多場合。目前我國各行業(yè)各種規(guī)模大小的視頻監(jiān)控系統(tǒng)已經(jīng)非常普遍，例如在銀行，社區(qū)，工廠，學(xué)校以及大型園區(qū)等場所均已安裝了視頻監(jiān)控系統(tǒng)。而隨著監(jiān)控系統(tǒng)的覆蓋范圍的擴大，系統(tǒng)中所容納的攝像頭的數(shù)量在逐漸增多，監(jiān)控的時間也在不斷延長，給視頻監(jiān)控系統(tǒng)維護工作帶來了新的挑戰(zhàn)。視頻質(zhì)量檢測便是其中一個核心問題。在視頻監(jiān)控系統(tǒng)中，，攝像頭在外界環(huán)境以及人為惡意破壞等影響下，傳輸?shù)漠嬅尜|(zhì)量時常會出現(xiàn)問題，例如：視頻信號中斷，視頻畫面偏色或者亮度對比度異常等等。這些視頻質(zhì)量問題嚴重影響了監(jiān)控系統(tǒng)的效能，如果問題不能夠及時發(fā)現(xiàn)和解決，很可能被有心之人或不法分子利用，造成進一步的經(jīng)濟損失。 為了快速發(fā)現(xiàn)視頻質(zhì)量異常的攝像頭并進行處理，防止因攝像頭視頻異常產(chǎn)生的損失。本文設(shè)計并實現(xiàn)了針對大型園區(qū)等場所視頻監(jiān)控系統(tǒng)的智能視頻質(zhì)量診斷模塊。這個智能視頻質(zhì)量診斷模塊包含視頻偏色檢測，信號中斷檢測，強橫紋干擾檢測，畫面凍結(jié)檢測，亮度異常檢測，清晰度異常檢測等。通過在安防平臺上使用智能視頻質(zhì)量診斷模塊，可以實現(xiàn)以下幾個功能：1、當(dāng)有攝像頭傳輸畫面異常時，及時產(chǎn)生告警，縮短產(chǎn)生異常到發(fā)現(xiàn)異常的時間間隔，提高安防效率。2、自動檢測視頻信號是否中斷或畫面凍結(jié)，及時告知安保人員進行處理，防止因人為破壞而產(chǎn)生進一步損失。3、自動檢測視頻亮度，對比度，清晰度異常，及時告知相關(guān)人員前往處理，盡早修復(fù)攝像頭，恢復(fù)正常的視頻監(jiān)控質(zhì)量。 針對大型園區(qū)等場所視頻監(jiān)控系統(tǒng)的智能視頻質(zhì)量檢測模塊已經(jīng)應(yīng)用于中國移動南方基地，經(jīng)實際運行表明，本文設(shè)計的智能視頻質(zhì)量診斷模塊能夠達到實時的計算速度，且有相對較高的告警準確度。
[Abstract]:In recent years, with the continuous development of security technology and the continuous expansion of market demand, video surveillance system has become an indispensable part of modern social security prevention, video surveillance with its intuitive, accurate, Timely and information content is rich and widely used in many occasions. At present, video surveillance systems of various sizes in various industries in China are very common. For example, video surveillance systems have been installed in banks, communities, factories, schools and large parks. With the expansion of the coverage of the surveillance system, the number of cameras in the system is gradually increasing, and the monitoring time is also being extended, which brings new challenges to the maintenance of the video surveillance system. Video quality detection is one of the core problems. In the video surveillance system, under the influence of the external environment and human malice, the quality of the video transmitted will often appear problems, such as: video signal interruption, video image color deviation or brightness contrast anomalies and so on. These video quality problems have seriously affected the effectiveness of the monitoring system. If the problem can not be detected and solved in time, it may be used by interested people or illegal elements, resulting in further economic losses. In order to quickly detect and process the camera with abnormal video quality, the loss caused by the abnormal video is prevented. This paper designs and implements an intelligent video quality diagnosis module for large-scale video surveillance system. This intelligent video quality diagnosis module includes video color deviation detection, signal interrupt detection, strong cross line interference detection, picture freezing detection, brightness anomaly detection, clarity anomaly detection and so on. By using the intelligent video quality diagnosis module on the security platform, the following several functions can be realized: 1. When there is an abnormal picture transmitted by a camera, the alarm is generated in time, and the time between the abnormal occurrence and the discovery of the anomaly is shortened. Improve the security efficiency .2. automatically detect whether the video signal is interrupted or the picture is frozen, inform the security personnel in time to deal with it, prevent further loss of .3s caused by artificial destruction, automatically detect video brightness, contrast, and clarity abnormality, Timely inform relevant personnel to deal with, repair the camera as soon as possible, restore normal video monitoring quality. The intelligent video quality detection module has been applied to the south base of China Mobile. The actual operation shows that the intelligent video quality diagnosis module designed in this paper can achieve real-time computing speed. And has relatively high alarm accuracy.
【學(xué)位授予單位】：中山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN948.6

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