摘要
为了提高居家环境的安全以及视频监控系统的检测和存储效率,论文设计了一种基于PBAS算法的嵌入式视频监控系统。首先,构建了以S3C2440芯片为核心的嵌入式Linux平台,使用Qt5.6实现了系统的人机交互界面。然后,对PBAS算法提出了改进方案,即改进决策阀值的更新策略和引入闪烁点机制。最后使用OpenCV实现该算法并应用在嵌入式Linux平台上。实验结果表明,该视频监控系统能较准确地检测出视频中含有移动目标的帧并将其保存下来,能有效节省存储视频所需的内存空间。
In order to improve the security of home environment and the detection and storage efficiency of video monitoring system, this paper designs an embedded video monitoring system based on PBAS algorithm. Firstly, this paper constructs an embedded Linux platform with S3 C2440 chip as the core, and uses Qt 5.6 to realize the human-computer interaction interface of the system. Then, the paper proposes an improved scheme for PBAS algorithm, that is, to improve the updating strategy of decision threshold and introduce the scintillation point mechanism. Finally, the algorithm is implemented by OpenCV and applied to the embedded Linux platform. Experimental results show that the video monitoring system can detect the frame of moving target in video accurately and save it, which can effectively save the memory space needed to store video.
引文
[1]李棚,吴晓红,何小海,等.一种改进的PBAS运动目标检测算法[J].科学技术与工程,2015,15(27):48-53.
[2]张泽斌,袁哓兵.一种改进反馈机制的PBAS运动目标检测算法[J].电子设计工程,2017,25(3):35-40.