In this paper, a background subtraction combining with inter-frame subtraction is proposed. The moving objects can be effectively extracted with the mixed algorithm.
本文采用背景差和帧差相结合的方法,实现了更加精确的运动目标检测。
参考来源 - 基于背景差和帧差相结合的目标追踪Finally, an algorithm using multiple successive frame difference to segment header-shoulder video stream is proposed, the segmentation result is preferable, and the calculation complexity is very low.
最后,提出了利用多个连续帧差,在时域窗内进行统计分析以分割头肩视频序列的算法,算法的分割结果较为准确,计算复杂度低。
参考来源 - 视频语义信息提取关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
为此，文章提出并实现了一种基于互帧差的视频运动对象分割方法。
This paper proposes and implements a moving object segmentation method, which based on inter-frame difference.
其基本思想是：首先根据多帧帧差信息，基于高阶统计检测方法提取运动区域。
The steps are as follows: First, motion area is extracted based on high-order statistics detection method and motion information of multiple frames.
其次在相邻帧差分边缘和当前帧边缘的基础上，检测出视频对象的初始边缘模板。
On the basis of difference edge mask and current edge mask, a binary edge model of the video object is initialized.
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