本文關鍵詞： AllJoyn 視頻監(jiān)控 門禁控制 H.264編碼壓縮 Android　出處：《浙江理工大學》2017年碩士論文　論文類型：學位論文

【摘要】：隨著互聯(lián)網技術與智能家居的不斷的應用到人們的生活的各個方面,針對智能家居中的視頻門禁監(jiān)控系統(tǒng)已逐漸開始受到人們的關注。傳統(tǒng)的視頻門禁監(jiān)控存在建設成本高、布線安裝復雜、靈活性不高、安全性差等弊端,已逐漸不能滿足于人們對現(xiàn)代生活快節(jié)奏智能信息化的需求。因此,本文在分析研究了傳統(tǒng)智能家居視頻門禁缺點的基礎上結合了實際的需求對其進行了改進,提出了一種基于AllJoyn框架智能門禁視頻監(jiān)控。本文對于AllJoyn框架進行研究分析建立起端對端通信模型,在通信模型的基礎上實現(xiàn)家庭視頻監(jiān)控與門禁端與移動端設備的控制,對其中的關鍵模塊進行研究分析并來實現(xiàn)該系統(tǒng),通過實驗來分析該系統(tǒng)在各方面的性能。本文通過對視頻監(jiān)控中的H.264編碼關鍵技術進行研究分析,提高視頻傳輸過程中編碼效率,針對幀內預測模式為了能減少幀內預測模式的選擇計算復雜度,在不影響視頻監(jiān)控的質量前提下降低碼率的輸出,比較了基于邊緣方向檢測預處理算法與傳統(tǒng)預測模式的優(yōu)缺點,并結合特定的場景提出了針對視頻編碼的高效率低計算復雜度的優(yōu)化算法,提出了基于改進的預處理閾值的預測模式的選擇,聯(lián)系家庭場景的特定應用場合使用INTRA16×16模式的紋理特征來減少了預測的計算量。對于幀間編碼的優(yōu)化改進本文通過監(jiān)控中畫面幀間相關性的特征與數理統(tǒng)計分析知識來實現(xiàn)宏塊的劃分,對UMHexagonS算法提出了一種動態(tài)搜索窗口機制來適應不同變化尺寸的宏塊劃分下搜索出最佳宏塊。最后對整個系統(tǒng)的功能進行測試,分析系統(tǒng)中性能與功能指標,實驗表明本文基于AllJoyn框架智能門禁視頻監(jiān)控能基本符合了現(xiàn)代家庭應用場景下的整體要求,安全可靠、穩(wěn)定性好等優(yōu)點,為智能家居中門禁視頻監(jiān)控的發(fā)展與應用提供了可行性方案。
[Abstract]:With the continuous application of Internet technology and smart home to all aspects of people's lives. The traditional video access control system has many disadvantages such as high construction cost, complex wiring installation, low flexibility, poor security and so on. Has been unable to meet the needs of modern life fast pace intelligent information. Therefore, this paper analyzes the shortcomings of traditional smart home video access control based on the combination of the actual needs to improve it. This paper presents an intelligent access video surveillance system based on AllJoyn framework. In this paper, the end-to-end communication model of AllJoyn framework is established. Based on the communication model, the home video surveillance and the control of access and mobile devices are realized, and the key modules are studied and analyzed to realize the system. Through experiments to analyze the performance of the system in various aspects. This paper analyzes the key technologies of H.264 coding in video surveillance to improve the coding efficiency in the process of video transmission. In order to reduce the computational complexity of intra prediction mode selection, the rate of output is reduced without affecting the quality of video surveillance. The advantages and disadvantages of preprocessing algorithm based on edge direction detection and traditional prediction mode are compared, and an optimization algorithm for video coding with high efficiency and low computational complexity is proposed in combination with specific scenes. A prediction model based on the improved preprocessing threshold is proposed. The texture feature of INTRA16 脳 16 pattern is used to reduce the computational complexity of prediction. The optimization of inter-frame coding improves the correlation between frames in this paper. The knowledge of sign and mathematical statistics is used to realize the partition of macroblock. A dynamic search window mechanism is proposed for UMHexagonS algorithm to search the best macroblock under different size macroblock partitioning. Finally, the function of the whole system is tested. The performance and function indexes of the system are analyzed. The experiment shows that the intelligent access video surveillance based on AllJoyn framework can basically meet the overall requirements of the modern home application scene, and it is safe and reliable. The advantages of good stability provide a feasible scheme for the development and application of access control video surveillance in smart home.
【學位授予單位】：浙江理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TU855;TN948.6

【參考文獻】

相關期刊論文 前5條

1 李昂;宋海聲;蘇小蕓;;基于Android的視頻監(jiān)控系統(tǒng)設計與實現(xiàn)[J];電子技術應用;2012年07期

2 余臘生;劉勇;;基于網絡的智能視頻監(jiān)控系統(tǒng)的設計與實現(xiàn)[J];計算機工程與設計;2009年16期

3 高嵩;趙方;宋茂強;;移動流媒體視頻監(jiān)控系統(tǒng)的研究與設計[J];計算機應用研究;2009年03期

4 楊建全;梁華;王成友;;視頻監(jiān)控技術的發(fā)展與現(xiàn)狀[J];現(xiàn)代電子技術;2006年21期

5 張曉紅,Sasan Saadat,喬為民,敬嵐,茍世哲,劉軍科;紅外通信IrDA標準與應用[J];光電子技術;2003年04期

，

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