一种智能摄像机网络中重叠区域的快速探测方法(英文)

Fast detection of overlapped areas in smart camera network

重叠区域探测是构建多摄像机传感网络的一个基本问题。多摄像机协作视觉分析任务中,摄像机必须知道相互位置关系。本文提出了一个基于图像匹配快速重叠探测方法,该方法适用于非标定的摄像机网络。该方法利用关键点的局部图像描述匹配完成重叠区域标定。其中关键点探测使用了最新的SURF(speedup robust feature)算法,该方法适用于实时计算。局部图像描述采用简单易算的LPB统计直方图,该局部图像描述具备光照,旋转不变特征。本文在实际的智能摄像机网络进行了测试,取得了良好的效果。

Finding overlapped areas among images is a fundamental problem while building a multi-camera network. In a cooperative vision task, cameras must determine their relative positions with respect to each other. In this paper, a fast view matching based method is proposed to detect overlapped areas for un-calibrated camera network. We accomplish view matching by detecting interesting points matched with their local image descriptor. The detection of interesting points is based on the SURF algorithm, which is suitable for real time processing. The local image descriptor matching is built on the local binary pattern （LBP） histogram, which is robust for illuminating changes and image rotations. We have tested the algorithm in an actual embedded smart camera network. The performance is shown to be acceptable.