Realtime multiple object tracking based on optical flows
Realtime multiple object tracking based on optical flows
复制标题
基于光流的实时多目标跟踪
DOI：
10.1109/robot.1995.525608
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
J. Miura
中科院分区：
文献类型：
--
作者：
Shinya Yamamoto;Y. Mae;Y. Shirai;J. Miura
本文描述了通过从图像序列中提取光流来进行实时对象跟踪。光流是基于广义梯度模型计算的。我们的方法检测移动物体，并从光流数据中跟踪它。假设同一对象对应的像素具有相似的流向量，我们提取具有相似流向量的连通区域。我们将该方法应用于多目标跟踪。当两个物体重叠时，前景物体被识别，并且每个物体都被跟踪而不会混淆。光流提取和目标跟踪由特殊的图像处理器实时执行。
This paper describes real time object tracking by extracting optical flows from a sequence of images. Optical flows are calculated based on the generalized gradient model. Our method detects a moving object, and tracks it from the optical flow data. Assuming that pixels corresponding to the same object have similar flow vectors, we extract a connected region with similar flow vectors. We apply this method to multiple object tracking. When two objects overlap, foreground object is recognized, and each object is tracked without confusion. Optical flow extraction and object tracking are executed in realtime by a special image processor.