多年来,视频图像传输总是依赖于图像压缩比和网络带宽之间的权衡来实现。根据具有固定背景的基于视觉的交通监控系统的视频传输特点采用单参考图背景差提取对象的方法研究,提出了一种基于特定对象的图像传输方式:(1)固定背景分别在采集端与控制中心预存;(2)采集端应用单参照图背景差方法提取目标对象,生成最小矩形覆盖网格区域及其掩码矩阵;(3)网络通道可以根据应用情况灵活选择;(4)控制中心则根据目标对象编码或其小波变换结果以及网格区域和掩码在背景图上重构出指定背景中目标运动视频。其优势在于:(1)大量节省网络带宽;(2)提供系统高级处理的有效输入如空间位置关系图以及可以校正的目标对象速度数据;(3)便于操作人员注意主要预警事件;(4)为系统扩能提供空间等。实验结果表明了这种方法的可行性。

In this paper,an object-of-interest based video transmission approach is presented for vision-based traffic surveillance systems using the background subtraction with one reference image.This background is pre-stored at both the image-capturing side and the monitoring center;at the acquisition side,using the badcgroand sabtraction with only one reference image the target objects are extracted,deriving a minimum rectangular grid-based region and a mask matrix for each of the extracted object.The monitoring center,after receiving the necessary codes,can reconstruct the video frames by fusing the objects or their wavelet-transformed versions into the preset background.The advantages are:(1) the networking resources are greatly saved;(2) some high-level processing functionality like collision avoidance,fault alarming can be improved;(3) operators' attention can focus on important events;(4) new services can be added or developed.Experimental results have proved its effectiveness.