基于TMS320DM368的智能高清監(jiān)控系統(tǒng)的研究與實現(xiàn)
發(fā)布時間:2018-12-20 14:21
【摘要】:視頻監(jiān)控技術(shù)在安防領(lǐng)域發(fā)揮著極其重要的作用。隨著社會的發(fā)展,傳統(tǒng)的視頻監(jiān)控已經(jīng)不能滿足于市場需求。智能監(jiān)控作為監(jiān)控領(lǐng)域最前沿的應(yīng)用模式之一,具有響應(yīng)速度快、主動性強(qiáng)、可靠性高、用途廣等優(yōu)點,因此有很重要的研究意義。本文通過研究視頻監(jiān)控的基本原理、高清數(shù)據(jù)的采集處理、目標(biāo)跟蹤的技術(shù)成果,設(shè)計并實現(xiàn)了一個基于TMS320DM368平臺的智能高清監(jiān)控系統(tǒng),該系統(tǒng)可從畫面分辨率和實際使用性兩個方面改善監(jiān)控效果。 論文首先完成了系統(tǒng)的硬件設(shè)計,具體包括DM368平臺、MT9P031圖像傳感器和PTS-301Q云臺。其次研究了DM368的特點、MT9P031采集視頻的基本原理、V4L2驅(qū)動獲取數(shù)據(jù)的方法、H.264壓縮編碼原理以及網(wǎng)絡(luò)傳輸協(xié)議TCP/IP,并編程實現(xiàn)了高清視頻的網(wǎng)絡(luò)傳輸。在此基礎(chǔ)上,本文研究了運動目標(biāo)跟蹤算法。利用三幀差分法檢測出運動目標(biāo)后,用改進(jìn)的Camshift算法對目標(biāo)進(jìn)行跟蹤。從三個方面對Camshift算法進(jìn)行改進(jìn):只對目標(biāo)的局部背景區(qū)域進(jìn)行反向投影計算;計算目標(biāo)與干擾區(qū)域的顏色相似系數(shù),當(dāng)系數(shù)大于閾值時,采用H-S二維直方圖生成反向投影圖;當(dāng)目標(biāo)被遮擋或突然消失時,結(jié)合Kalman濾波預(yù)測目標(biāo)的運動狀態(tài)。最后,文中通過一個簡單、有效的算法控制云臺轉(zhuǎn)動,可使目標(biāo)始終位于監(jiān)控畫面中心。 測試結(jié)果表明,該系統(tǒng)可支持分辨率為1280×720的高清視頻網(wǎng)絡(luò)傳輸,能夠?qū)崿F(xiàn)準(zhǔn)確的目標(biāo)跟蹤,提高了系統(tǒng)的監(jiān)控效率。
[Abstract]:Video surveillance technology plays an extremely important role in the field of security. With the development of society, the traditional video surveillance can not meet the market demand. As one of the most advanced application modes in the field of monitoring, intelligent monitoring has the advantages of fast response, strong initiative, high reliability and wide application, so it has very important research significance. Based on the research of the basic principle of video surveillance, the acquisition and processing of high-definition data and the technical achievements of target tracking, an intelligent high-definition monitoring system based on TMS320DM368 platform is designed and implemented in this paper. The system can improve the monitoring effect from two aspects: picture resolution and practical usage. Firstly, the hardware design of the system is completed, including DM368 platform, MT9P031 image sensor and PTS-301Q platform. Secondly, the characteristics of DM368, the basic principle of MT9P031 video acquisition, the method of data acquisition by V4L2 driver, the compression coding principle of H.264 and the network transmission protocol TCP/IP, are studied. The network transmission of high-definition video is realized by programming. On this basis, the moving target tracking algorithm is studied in this paper. After the moving target is detected by three frame difference method, the improved Camshift algorithm is used to track the target. The Camshift algorithm is improved from three aspects: only the backprojection of the local background region of the target is carried out; The color similarity coefficient between target and interference region is calculated. When the coefficient is larger than the threshold value, the H-S two-dimensional histogram is used to generate the reverse projection image, and when the target is blocked or suddenly disappeared, the moving state of the target is predicted with Kalman filter. Finally, a simple and effective algorithm is used to control the rotation of the cloud head, so that the target can always be located in the center of the monitoring screen. The test results show that the system can support high-definition video transmission with a resolution of 1280 脳 720. it can realize accurate target tracking and improve the efficiency of system monitoring.
【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】:2014
【分類號】:TN948.6
本文編號:2388121
[Abstract]:Video surveillance technology plays an extremely important role in the field of security. With the development of society, the traditional video surveillance can not meet the market demand. As one of the most advanced application modes in the field of monitoring, intelligent monitoring has the advantages of fast response, strong initiative, high reliability and wide application, so it has very important research significance. Based on the research of the basic principle of video surveillance, the acquisition and processing of high-definition data and the technical achievements of target tracking, an intelligent high-definition monitoring system based on TMS320DM368 platform is designed and implemented in this paper. The system can improve the monitoring effect from two aspects: picture resolution and practical usage. Firstly, the hardware design of the system is completed, including DM368 platform, MT9P031 image sensor and PTS-301Q platform. Secondly, the characteristics of DM368, the basic principle of MT9P031 video acquisition, the method of data acquisition by V4L2 driver, the compression coding principle of H.264 and the network transmission protocol TCP/IP, are studied. The network transmission of high-definition video is realized by programming. On this basis, the moving target tracking algorithm is studied in this paper. After the moving target is detected by three frame difference method, the improved Camshift algorithm is used to track the target. The Camshift algorithm is improved from three aspects: only the backprojection of the local background region of the target is carried out; The color similarity coefficient between target and interference region is calculated. When the coefficient is larger than the threshold value, the H-S two-dimensional histogram is used to generate the reverse projection image, and when the target is blocked or suddenly disappeared, the moving state of the target is predicted with Kalman filter. Finally, a simple and effective algorithm is used to control the rotation of the cloud head, so that the target can always be located in the center of the monitoring screen. The test results show that the system can support high-definition video transmission with a resolution of 1280 脳 720. it can realize accurate target tracking and improve the efficiency of system monitoring.
【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】:2014
【分類號】:TN948.6
【參考文獻(xiàn)】
相關(guān)期刊論文 前6條
1 謝君廷;王小華;;一種基于HSV空間的顏色相似度計算方法[J];杭州電子科技大學(xué)學(xué)報;2008年01期
2 張娟;毛曉波;陳鐵軍;;運動目標(biāo)跟蹤算法研究綜述[J];計算機(jī)應(yīng)用研究;2009年12期
3 王孝艷;張艷珠;董慧穎;李媛;李小娟;;運動目標(biāo)檢測的三幀差法算法研究[J];沈陽理工大學(xué)學(xué)報;2011年06期
4 梁娟;項俊;侯建華;;基于Camshift和Kalman濾波的自動跟蹤算法[J];微型機(jī)與應(yīng)用;2011年24期
5 劉志強(qiáng);;澄清高清網(wǎng)絡(luò)攝像機(jī)的幾大基本問題[J];中國安防;2010年03期
6 王體明;唐亮;;一種改進(jìn)的基于直方圖反向投影的目標(biāo)跟蹤方法[J];科技資訊;2012年19期
相關(guān)碩士學(xué)位論文 前1條
1 鄧?yán)^坤;嵌入式電子警察抓拍系統(tǒng)[D];重慶大學(xué);2013年
,本文編號:2388121
本文鏈接:http://sikaile.net/kejilunwen/wltx/2388121.html
最近更新
教材專著