本文關(guān)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(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)與智能家居的不斷的應(yīng)用到人們的生活的各個(gè)方面,針對(duì)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(guān)注。傳統(tǒng)的視頻門禁監(jiān)控存在建設(shè)成本高、布線安裝復(fù)雜、靈活性不高、安全性差等弊端,已逐漸不能滿足于人們對(duì)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(diǎn)的基礎(chǔ)上結(jié)合了實(shí)際的需求對(duì)其進(jìn)行了改進(jìn),提出了一種基于AllJoyn框架智能門禁視頻監(jiān)控。本文對(duì)于AllJoyn框架進(jìn)行研究分析建立起端對(duì)端通信模型,在通信模型的基礎(chǔ)上實(shí)現(xiàn)家庭視頻監(jiān)控與門禁端與移動(dòng)端設(shè)備的控制,對(duì)其中的關(guān)鍵模塊進(jìn)行研究分析并來(lái)實(shí)現(xiàn)該系統(tǒng),通過(guò)實(shí)驗(yàn)來(lái)分析該系統(tǒng)在各方面的性能。本文通過(guò)對(duì)視頻監(jiān)控中的H.264編碼關(guān)鍵技術(shù)進(jìn)行研究分析,提高視頻傳輸過(guò)程中編碼效率,針對(duì)幀內(nèi)預(yù)測(cè)模式為了能減少幀內(nèi)預(yù)測(cè)模式的選擇計(jì)算復(fù)雜度,在不影響視頻監(jiān)控的質(zhì)量前提下降低碼率的輸出,比較了基于邊緣方向檢測(cè)預(yù)處理算法與傳統(tǒng)預(yù)測(cè)模式的優(yōu)缺點(diǎn),并結(jié)合特定的場(chǎng)景提出了針對(duì)視頻編碼的高效率低計(jì)算復(fù)雜度的優(yōu)化算法,提出了基于改進(jìn)的預(yù)處理閾值的預(yù)測(cè)模式的選擇,聯(lián)系家庭場(chǎng)景的特定應(yīng)用場(chǎng)合使用INTRA16×16模式的紋理特征來(lái)減少了預(yù)測(cè)的計(jì)算量。對(duì)于幀間編碼的優(yōu)化改進(jìn)本文通過(guò)監(jiān)控中畫面幀間相關(guān)性的特征與數(shù)理統(tǒng)計(jì)分析知識(shí)來(lái)實(shí)現(xiàn)宏塊的劃分,對(duì)UMHexagonS算法提出了一種動(dòng)態(tài)搜索窗口機(jī)制來(lái)適應(yīng)不同變化尺寸的宏塊劃分下搜索出最佳宏塊。最后對(duì)整個(gè)系統(tǒng)的功能進(jìn)行測(cè)試,分析系統(tǒng)中性能與功能指標(biāo),實(shí)驗(yàn)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(yīng)用場(chǎng)景下的整體要求,安全可靠、穩(wěn)定性好等優(yōu)點(diǎn),為智能家居中門禁視頻監(jiān)控的發(fā)展與應(yīng)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(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU855;TN948.6

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