本文選題：智能視頻監(jiān)控　切入點：達芬奇技術(shù)　出處：《南京理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：智能視頻監(jiān)控作為安全防范系統(tǒng)的重要技術(shù),在無需人為干預(yù)的情況下,能對監(jiān)控攝像頭采集到的視頻自動分析并發(fā)出指令,因而在軍事與民用領(lǐng)域具有廣泛的應(yīng)用。結(jié)合TMS320DM6467芯片在視頻圖像處理領(lǐng)域的性能優(yōu)勢,本文基于DM6467平臺對智能監(jiān)控視頻信號處理技術(shù)進行研究。本文內(nèi)容主要分為五個部分:第一部分介紹了智能視頻監(jiān)控的研究背景和意義及國內(nèi)外研究現(xiàn)狀;第二部分介紹了幾種常見的嵌入式智能視頻監(jiān)控系統(tǒng)解決方案和系統(tǒng)硬件平臺的構(gòu)建,包括視頻采集系統(tǒng)以及視頻信號處理系統(tǒng);第三部分首先介紹了幀差法、混合高斯模型算法、核密度估計算法、模糊積分特征算法等常用的運動目標檢測算法的基本原理,其次針對經(jīng)典W4算法不能更新背景模型的不足,提出了本文基于W4算法和幀差法的算法,有效地解決了經(jīng)典W4算法因視頻初始幀中存在運動目標而導(dǎo)致誤檢的問題。接著簡要介紹了視頻壓縮和網(wǎng)絡(luò)傳輸技術(shù);第四部分將本文算法和其他常用的運動目標檢測算法對不同的視頻源進行matlab仿真實驗,對檢測結(jié)果進行定性分析和量性分析,并進行異常事件檢測實驗;第五部分介紹了智能監(jiān)控視頻信號處理技術(shù)的研究與設(shè)計,包括目標檢測、異常事件檢測、H.264視頻壓縮和網(wǎng)絡(luò)傳輸。重點介紹了 DSP端圖像處理算法的移植以及ARM端應(yīng)用程序的設(shè)計。最后開展多組實驗,實驗結(jié)果表明,本文提出的基于W4算法和幀差法的目標檢測算法在硬件平臺上檢測效果良好,其準確率高,完整度好,誤檢率低,且能很好地服務(wù)于異常事件檢測;同時,視頻編碼的壓縮比尚可,網(wǎng)絡(luò)傳輸基本滿足實時性。
[Abstract]:As an important technology of security and prevention system, intelligent video surveillance can automatically analyze and issue instructions to the video captured by the surveillance camera without human intervention. Therefore, it has been widely used in military and civilian fields. Combined with the performance advantage of TMS320DM6467 chip in video image processing, This paper is based on the DM6467 platform to study the intelligent video signal processing technology. The content of this paper is divided into five parts: the first part introduces the research background and significance of intelligent video surveillance and the research status at home and abroad; The second part introduces several common embedded intelligent video surveillance system solutions and the construction of the system hardware platform, including video capture system and video signal processing system. The basic principles of moving target detection algorithms such as mixed Gao Si model algorithm, kernel density estimation algorithm, fuzzy integral feature algorithm and so on. Secondly, the classical W4 algorithm can not update the background model. An algorithm based on W4 algorithm and frame difference method is proposed in this paper, which effectively solves the problem of false detection caused by the moving object in the original frame of the video. Then, the video compression and network transmission technology are briefly introduced. In the 4th part, the matlab simulation experiments of different video sources are carried out with this algorithm and other commonly used moving target detection algorithms, and the detection results are analyzed qualitatively and quantitatively, and the abnormal event detection experiments are carried out. Part 5th introduces the research and design of intelligent video signal processing technology, including target detection. H.264 video compression and network transmission. This paper mainly introduces the transplantation of image processing algorithm on DSP and the design of ARM application program. Finally, many experiments are carried out, and the experimental results show that, The target detection algorithm based on W4 algorithm and frame difference method proposed in this paper has good detection effect on hardware platform, its accuracy is high, integrity is good, false detection rate is low, and it can well serve for abnormal event detection. The compression ratio of video coding is good, and the network transmission basically meets the real-time requirement.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41;TN948.6

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