本文選題：視頻監(jiān)控系統(tǒng)　切入點(diǎn)：時(shí)空興趣點(diǎn)　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：最近這幾年,監(jiān)控?cái)z像頭在生活中各個(gè)領(lǐng)域迅速普及,視頻數(shù)據(jù)量成倍增加,傳統(tǒng)的依靠人工的監(jiān)控方式其效率和準(zhǔn)確性難以保證,這使得智能視頻監(jiān)控成為當(dāng)今計(jì)算機(jī)視覺領(lǐng)域的一個(gè)研究熱點(diǎn)。而運(yùn)動(dòng)目標(biāo)的檢測與跟蹤是視頻分析的關(guān)鍵內(nèi)容,在視頻監(jiān)控、軍事應(yīng)用、人機(jī)交互等很多方面都是應(yīng)用實(shí)現(xiàn)的基礎(chǔ),是計(jì)算機(jī)視覺中的活躍領(lǐng)域。在化工廠這樣的環(huán)境下,一旦發(fā)生事故,比如起火或者認(rèn)為破壞等,將造成嚴(yán)重的后果,因此監(jiān)控設(shè)備就尤為重要,在一些敏感位置都安裝了攝像頭,如果能夠?qū)崟r(shí)地對這些監(jiān)控場景進(jìn)行分析,跟蹤和判斷場景中人的行為,對一些異常的現(xiàn)象發(fā)出警報(bào),就能防患于未然,確保安全。出于以上目的,本文自主研制和設(shè)計(jì)了一套穩(wěn)定的、高效的、人性化的視頻監(jiān)控系統(tǒng)。本系統(tǒng)的智能檢測模塊主要應(yīng)用了基于時(shí)空興趣點(diǎn)的檢測方法。本文中的新的檢測算法,在準(zhǔn)確度上有了較大的提高,使智能檢測模塊的判斷更加準(zhǔn)確。當(dāng)監(jiān)控現(xiàn)場出現(xiàn)異常情況時(shí),檢測模塊能通過視頻迅速檢測到,并以最快和最佳的方式發(fā)出報(bào)警,盡最大可能的杜絕人為因素造成的事故,在功能上能夠?qū)崿F(xiàn)事故發(fā)生前發(fā)出報(bào)警,保證人員在事故中的正確處理以及事故后能完全取證的智能監(jiān)控系統(tǒng)。考慮到本文需要存儲(chǔ)的數(shù)據(jù)量相當(dāng)大,所以在數(shù)據(jù)庫建立方面進(jìn)行了大量的研究和嘗試。以ER模型為基礎(chǔ),總結(jié)出了適合本系統(tǒng)的數(shù)據(jù)存儲(chǔ)方式。即建立多個(gè)數(shù)據(jù)庫用來存儲(chǔ)不同的數(shù)據(jù),同時(shí)詳細(xì)設(shè)計(jì)了一部分?jǐn)?shù)據(jù)表,同時(shí)還從安全方面考慮,加強(qiáng)了對數(shù)據(jù)庫的安全管理。本文還主要介紹了監(jiān)控系統(tǒng)的軟件設(shè)計(jì)與開發(fā),包括客戶端軟件設(shè)計(jì)和服務(wù)器端軟件設(shè)計(jì),其中重點(diǎn)是對客戶端軟件的設(shè)計(jì)。通過深入研究系統(tǒng)的需求關(guān)系,本文將軟件的模塊分為:登陸模塊,用戶管理模塊,報(bào)警查詢模塊,錄像回放模塊等多個(gè)功能模塊。
[Abstract]:In recent years, surveillance cameras have been rapidly popularized in all fields of life, and the amount of video data has multiplied. It is difficult to guarantee the efficiency and accuracy of traditional surveillance methods relying on manual methods. This makes intelligent video surveillance a research hotspot in the field of computer vision, and the detection and tracking of moving targets is the key content of video analysis, in video surveillance, military applications, Many aspects, such as human-computer interaction, are the basis of application and implementation, and are active fields in computer vision. In a chemical plant such as an environment, once an accident occurs, such as fire or damage, it will have serious consequences. So monitoring equipment is particularly important. Cameras are installed in some sensitive locations. If you can analyze, track and judge the behavior of people in the scene in real time, you can warn of some unusual phenomena. For the above purpose, this paper independently developed and designed a set of stable, efficient, Humanized video surveillance system. The intelligent detection module of this system mainly uses the detection method based on space-time interest point. The new detection algorithm in this paper has greatly improved the accuracy. Make the judgment of intelligent detection module more accurate. When there is abnormal situation in the monitoring scene, the detection module can quickly detect through the video, and send out the alarm in the fastest and best way, so as to prevent the accidents caused by human factors as far as possible. The function can realize the alarm before the accident occurs, ensure the correct handling of the personnel in the accident and the intelligent monitoring system which can collect the evidence completely after the accident. Considering the large amount of data needed to be stored in this paper, So in the aspect of database establishment, a lot of researches and attempts have been made. On the basis of ER model, the data storage method suitable for this system has been summarized. That is to say, many databases have been established to store different data. At the same time, some data tables are designed in detail, at the same time, the security management of database is strengthened from the aspect of security. This paper also mainly introduces the software design and development of monitoring system. Including client software design and server-side software design, the emphasis is on the client software design. Through the in-depth study of the requirements of the system, this paper divides the software modules into: landing module, user management module, Alarm query module, video playback module and other functional modules.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN948.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 莊琴生;以E-R模型為基礎(chǔ)構(gòu)造數(shù)據(jù)倉庫的概念模型[J];計(jì)算機(jī)工程與應(yīng)用;2004年10期

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