场景突变探测即识别出在场景内容上和前一帧有着重大差别的帧。
Scene cut detection involves the identification of frames at which the content of the scene is significantly different from that of the previous frames.
对后续帧，通过与前一帧进行头部模板匹配，完成目标图像序列的头部检测跟踪。
According to matching the head template with the contour image of follow-up frames, it can implement the head detection and tracking with image sequence.
在这个示例中，我们只判断最接近捕捉的图像顶部与前一帧相比有变化的像素的坐标。
In this case, we will simply determine the coordinates of a cell of pixels closest to the top of the captured image and that changed from the previous frame.
为了满足图像预处理的实时性要求，提出一种基于前一帧图像的改进的中值滤波算法。
A new method of median filter algorithm based on the last frame is proposed to meet the demands of real time image preprocessing.
为了提高效率，在定位出前一帧的眼睛位置后，我们只在估计的范围内搜索下一帧眼睛的可能位置。
In order to improve efficiency, eye location of the next fame is predicted according to previous ones.
为了提高效率，在定位出前一帧的眼睛位置后，我们只在估计的范围内搜索下一帧眼睛的可能位置。
In order to improve efficiency, eye location of the next fame is predicted according to previous ones.
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