首先利用运动估计预测目标在下一帧的感兴趣区域，也就是跟踪窗。
The regions of interest which contain the target in the next frame, namely tracking windows, are predicted by motion estimator.
感兴趣区域定位是提取目标特征，进行目标识别与跟踪等后续处理的重要基础。
Detecting regions of interest(ROIs) is the base step for object's feature extraction, identification and tracking.
利用运动估计预测目标在下一帧的感兴趣区域，即跟踪窗。
Firstly the regions of interest which contained the target in the next frame, namely tracking windows, were predicted by motion estimator.
讲述了对二值图象中所感兴趣的物体区域的选定方法，并提出了一种通用性较强的边缘跟踪算法，以提取被选定物体区域的外边缘轮廓。
A selection method is described to select the interested object areas in binary image, and a new general tracking boundary algorithm is proposed to acquire the outside boundary of the selected area.
讲述了对二值图象中所感兴趣的物体区域的选定方法，并提出了一种通用性较强的边缘跟踪算法，以提取被选定物体区域的外边缘轮廓。
A selection method is described to select the interested object areas in binary image, and a new general tracking boundary algorithm is proposed to acquire the outside boundary of the selected area.
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