计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
4期
84-90
,共7页
毛剑飞%张杰%蒋莉%王子仁%马祥音%廖智蓉
毛劍飛%張傑%蔣莉%王子仁%馬祥音%廖智蓉
모검비%장걸%장리%왕자인%마상음%료지용
视频压缩%USB摄像头%视频监控%远程显示%H.264
視頻壓縮%USB攝像頭%視頻鑑控%遠程顯示%H.264
시빈압축%USB섭상두%시빈감공%원정현시%H.264
video compression%USB camera%video surveillance%long-distance display%H.264
嵌入式技术的飞速发展推动了视频采集领域的技术革新,使得视频监控系统越来越朝着小型化、智能化、嵌入式化、远程化的方向发展.文中以基于S3C6410处理器的ARM板为硬件平台,采用Linux为嵌入式操作系统,建立了一个视频采集服务器;以 PC 机为客户端,实时地远程显示视频---建立了一个远程视频监控系统.系统利用Linux内核提供的视频数据采集接口V4L2控制USB摄像头来采集图像,利用网络套接字将编码后的图像数据传输至客户端;在客户端将图像解码并转化为 RGB 格式后,利用 GTK 把转化后的图像显示出来.针对H.264运动估计算法的两点不足,提出了动态搜索范围策略和搜索点分组策略.实验结果证明:在不影响重建图像质量和编码码率的前提下,改进的算法有效地降低了算法的编码时间和运动估计时间,提高了编码过程的实时性.通过本文的设计方案能够获得稳定清晰的图像,实现了远程视频监控.
嵌入式技術的飛速髮展推動瞭視頻採集領域的技術革新,使得視頻鑑控繫統越來越朝著小型化、智能化、嵌入式化、遠程化的方嚮髮展.文中以基于S3C6410處理器的ARM闆為硬件平檯,採用Linux為嵌入式操作繫統,建立瞭一箇視頻採集服務器;以 PC 機為客戶耑,實時地遠程顯示視頻---建立瞭一箇遠程視頻鑑控繫統.繫統利用Linux內覈提供的視頻數據採集接口V4L2控製USB攝像頭來採集圖像,利用網絡套接字將編碼後的圖像數據傳輸至客戶耑;在客戶耑將圖像解碼併轉化為 RGB 格式後,利用 GTK 把轉化後的圖像顯示齣來.針對H.264運動估計算法的兩點不足,提齣瞭動態搜索範圍策略和搜索點分組策略.實驗結果證明:在不影響重建圖像質量和編碼碼率的前提下,改進的算法有效地降低瞭算法的編碼時間和運動估計時間,提高瞭編碼過程的實時性.通過本文的設計方案能夠穫得穩定清晰的圖像,實現瞭遠程視頻鑑控.
감입식기술적비속발전추동료시빈채집영역적기술혁신,사득시빈감공계통월래월조착소형화、지능화、감입식화、원정화적방향발전.문중이기우S3C6410처리기적ARM판위경건평태,채용Linux위감입식조작계통,건립료일개시빈채집복무기;이 PC 궤위객호단,실시지원정현시시빈---건립료일개원정시빈감공계통.계통이용Linux내핵제공적시빈수거채집접구V4L2공제USB섭상두래채집도상,이용망락투접자장편마후적도상수거전수지객호단;재객호단장도상해마병전화위 RGB 격식후,이용 GTK 파전화후적도상현시출래.침대H.264운동고계산법적량점불족,제출료동태수색범위책략화수색점분조책략.실험결과증명:재불영향중건도상질량화편마마솔적전제하,개진적산법유효지강저료산법적편마시간화운동고계시간,제고료편마과정적실시성.통과본문적설계방안능구획득은정청석적도상,실현료원정시빈감공.
The rapid development of embedded technology promotes innovation in the field of video capturing, making video surveillance system towards smaller, smarter, more embedded and longer-distance fashion. A video acquisition server is established with ARM board based on S3C6410 processor and Linux served as hardware and software system respectively. Together with a PC client, remotely and real-time displaying video, a long-distance video surveillance system is set up. By control of USB camera through video data acquisition interface, V4L2, the system can acquire images. The encoded image data is sent to clients through Internet sockets. The image is displayed on the client after the accepted image has been already decoded and converted to RGB format. Two methods, dynamic search window and search points-grouping, have been proposed to solve two short points of motion estimation algorithm in H.264. The experimental result shows compared to the original algorithm, the improved algorithm can greatly decrease encoding time and motion estimation time, while maintain the image quality and encoding bitrate. The system designed here can get continued images, implementing video monitoring remotely.