基于Android平臺智能視頻監(jiān)控系統(tǒng)的研究與實現(xiàn)
發(fā)布時間:2018-09-11 10:08
【摘要】:隨著中國經(jīng)濟的快速發(fā)展和人民生活水平的不斷提高,人們對自身的安全問題提出了更高的要求,傳統(tǒng)的監(jiān)控系統(tǒng)面臨著不靈活、低效率、維護成本高等問題,已經(jīng)無法滿足人們的需求,市場急需一種靈活性強、性能穩(wěn)定、維護成本低、能主動分析并預(yù)警的監(jiān)控系統(tǒng),智能化的視頻監(jiān)控系統(tǒng)的是視頻監(jiān)控系統(tǒng)未來發(fā)展的一個趨勢,從市場的需求情況來看,智能化的視頻監(jiān)控系統(tǒng)逐漸引起越來越多的人們的關(guān)注,需求量持續(xù)上升。從技術(shù)角度來看,智能化的視頻監(jiān)控將向著適應(yīng)更為復(fù)雜多變的場景、分析和識別更多異常行為的方向發(fā)展。智能視頻監(jiān)控技術(shù)是一種具有前瞻性的科研領(lǐng)域,不僅蘊含著巨大的科研價值也包含著巨大的商業(yè)價值。在移動智能終端方面,Google開發(fā)的Android平臺極大的推動了移動智能終端的發(fā)展,由于它的開放性,為智能手機視頻監(jiān)控系統(tǒng)的普及帶來了契機。因此,研究與開發(fā)一款基于Android平臺的智能視頻監(jiān)控系統(tǒng)具有重大的現(xiàn)實意義與市場前景。本文的研究內(nèi)容及成果主要有以下幾個方面: (1)分析了基于Android平臺的智能監(jiān)控系統(tǒng)的研究現(xiàn)狀,,總結(jié)了當前智能監(jiān)控的需求,證實研究基于Android平臺的智能監(jiān)控系統(tǒng)的必要性。 (2)系統(tǒng)采用RTP/RTCP實現(xiàn)視頻數(shù)據(jù)的傳輸和控制,采用RSTP實現(xiàn)流媒體服務(wù)器和客戶端會話的建立與控制,使用Live555流媒體服務(wù)器實現(xiàn)實時視頻流的轉(zhuǎn)發(fā)。 (3)分析現(xiàn)有H.264的RTP封包算法,發(fā)現(xiàn)其不足并對其進行優(yōu)化,提高封包的效率。 (4)在視頻傳輸模塊對現(xiàn)有的擁塞控制算法進行介紹,并對平穩(wěn)自適應(yīng)算法進行改進,采用改進后的RTP平穩(wěn)自適應(yīng)算法進行流量擁塞控制保證一定的QoS,在視頻接收模塊對緩沖區(qū)進行優(yōu)化,來降低丟包率和延時。 (5)對FFmpeg多媒體解碼庫進行裁剪優(yōu)化并移植到Android平臺,通過JNI技術(shù)實現(xiàn)了視頻數(shù)據(jù)的解碼,提高了解碼效率。 (6)調(diào)用短信平臺給用戶發(fā)送報警短信,提示用戶及時查看實時報警視頻,真正意義上實現(xiàn)了全天24小時監(jiān)控。 通過以上工作,成功實現(xiàn)了基于Android平臺的智能視頻監(jiān)控系統(tǒng),經(jīng)過測試,系統(tǒng)運行穩(wěn)定,畫面清晰流暢,延時小。該系統(tǒng)極大地降低安防人員的勞動強度以及視頻存儲的壓力,真正意義上實現(xiàn)了全天24小時的實時監(jiān)控。
[Abstract]:With the rapid development of China's economy and the continuous improvement of people's living standards, people have put forward higher requirements for their own safety problems. The traditional monitoring system is faced with problems such as inflexibility, low efficiency, high maintenance cost, etc. The market is in urgent need of a kind of surveillance system with strong flexibility, stable performance, low maintenance cost, active analysis and early warning. The intelligent video surveillance system is a trend of the future development of video surveillance system. According to the market demand, the intelligent video surveillance system has attracted more and more people's attention, and the demand continues to rise. From a technical point of view, intelligent video surveillance will develop towards the direction of adapting to more complex and changeable scenarios, analyzing and identifying more abnormal behaviors. Intelligent video surveillance technology is a prospective research field, which contains not only great scientific research value but also huge commercial value. In the aspect of mobile intelligent terminal, the Android platform developed by Google has greatly promoted the development of mobile intelligent terminal. Because of its openness, it has brought the opportunity for the popularization of video surveillance system of smart phone. Therefore, the research and development of an intelligent video surveillance system based on Android platform has great practical significance and market prospect. The research contents and results of this paper are as follows: (1) the research status of intelligent monitoring system based on Android platform is analyzed, and the demand of intelligent monitoring system is summarized. It is necessary to study the intelligent monitoring system based on Android platform. (2) the system uses RTP/RTCP to realize the transmission and control of video data, and RSTP to realize the establishment and control of streaming media server and client session. Live555 streaming media server is used to transmit real-time video stream. (3) the existing H.264 RTP packet algorithm is analyzed, and its shortcomings are found and optimized. Improve the efficiency of packet. (4) introduce the existing congestion control algorithm in the video transmission module, and improve the stationary adaptive algorithm. The improved RTP stationary adaptive algorithm is used to control traffic congestion to ensure that a certain QoS, optimizes the buffer in the video receiving module. In order to reduce packet loss rate and delay. (5) FFmpeg multimedia decoding library is optimized and transplanted to Android platform. Video data decoding is realized by JNI technology. (6) calling the short message platform to send alarm message to the user, prompt the user to view the real-time alarm video in time, and realize the monitoring 24 hours a day. Through the above work, the intelligent video surveillance system based on Android platform is successfully realized. After testing, the system runs stably, the picture is clear and smooth, and the delay is small. The system greatly reduces the labor intensity of security personnel and the pressure of video storage, and realizes the real time monitoring 24 hours a day.
【學(xué)位授予單位】:江蘇科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP311.52;TN948.6
本文編號:2236383
[Abstract]:With the rapid development of China's economy and the continuous improvement of people's living standards, people have put forward higher requirements for their own safety problems. The traditional monitoring system is faced with problems such as inflexibility, low efficiency, high maintenance cost, etc. The market is in urgent need of a kind of surveillance system with strong flexibility, stable performance, low maintenance cost, active analysis and early warning. The intelligent video surveillance system is a trend of the future development of video surveillance system. According to the market demand, the intelligent video surveillance system has attracted more and more people's attention, and the demand continues to rise. From a technical point of view, intelligent video surveillance will develop towards the direction of adapting to more complex and changeable scenarios, analyzing and identifying more abnormal behaviors. Intelligent video surveillance technology is a prospective research field, which contains not only great scientific research value but also huge commercial value. In the aspect of mobile intelligent terminal, the Android platform developed by Google has greatly promoted the development of mobile intelligent terminal. Because of its openness, it has brought the opportunity for the popularization of video surveillance system of smart phone. Therefore, the research and development of an intelligent video surveillance system based on Android platform has great practical significance and market prospect. The research contents and results of this paper are as follows: (1) the research status of intelligent monitoring system based on Android platform is analyzed, and the demand of intelligent monitoring system is summarized. It is necessary to study the intelligent monitoring system based on Android platform. (2) the system uses RTP/RTCP to realize the transmission and control of video data, and RSTP to realize the establishment and control of streaming media server and client session. Live555 streaming media server is used to transmit real-time video stream. (3) the existing H.264 RTP packet algorithm is analyzed, and its shortcomings are found and optimized. Improve the efficiency of packet. (4) introduce the existing congestion control algorithm in the video transmission module, and improve the stationary adaptive algorithm. The improved RTP stationary adaptive algorithm is used to control traffic congestion to ensure that a certain QoS, optimizes the buffer in the video receiving module. In order to reduce packet loss rate and delay. (5) FFmpeg multimedia decoding library is optimized and transplanted to Android platform. Video data decoding is realized by JNI technology. (6) calling the short message platform to send alarm message to the user, prompt the user to view the real-time alarm video in time, and realize the monitoring 24 hours a day. Through the above work, the intelligent video surveillance system based on Android platform is successfully realized. After testing, the system runs stably, the picture is clear and smooth, and the delay is small. The system greatly reduces the labor intensity of security personnel and the pressure of video storage, and realizes the real time monitoring 24 hours a day.
【學(xué)位授予單位】:江蘇科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP311.52;TN948.6
【參考文獻】
相關(guān)期刊論文 前4條
1 蔣建國;蘇兆品;李援;梁立偉;;RTP/RTCP自適應(yīng)流量控制算法[J];電子學(xué)報;2006年09期
2 尹洪;洪玫;曾明;冷江;王卓;;基于RTCP的實時流式傳輸擁塞控制算法[J];云南大學(xué)學(xué)報(自然科學(xué)版);2008年S2期
3 周杰;梁篤國;;智能視頻監(jiān)控在世博會中的應(yīng)用探討[J];中國安防;2010年09期
4 楊歐;;基于Android平臺的視頻智能監(jiān)控報警系統(tǒng)[J];中國高新技術(shù)企業(yè);2012年20期
本文編號:2236383
本文鏈接:http://sikaile.net/kejilunwen/wltx/2236383.html
最近更新
教材專著