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.
视频运动区域的自动提取是视频对象生成的关键。
Automatic extraction of motion region in video sequence is critical to the generation of a video object.
本文采用基于RGB空间的背景抑制方法来提取运动区域。
This thesis adopts the background suppression based RGB color to abstract vehicle area.
通过运动区域检测、噪声去除、连通单元标记、目标提取、阴影检测等处理，能获取完整的车辆目标区域。
By the process of moving area detection, yawp elimination, object detection based on connected region label, shadow elimination, the whole vehicle targets area is obtained.
在定位分割出上半人脸运动单元子区域图像之后，提出了采用KPCA算法提取它们的特征。
After upper facial action unit location and segmentation, we present the facial action unit feature extraction algorithm based on KPCA.
在红外图像序列中，提取了反映局部区域运动相关性的相关特征。
Temporal change feature is extracted from the visual image sequence using temporal decomposition based on wavelet, which reflects the dynamical content variation at a pixel at any time.
其次，采用该混合模型计算运动目标的显著性映射概率分布，有效地提取出运动目标区域。
Then, it USES the defined model to compute probability distribution of salient maps, which can locate region of moving object effectively.
在提取运动区域时，提出了人物基础帧与其运动区域之间对应关系的方案。
The corresponding relationship between figure-based frames and their moving regions is proposed during moving regions extraction.
给出连续图像帧差分和二次帧差分改进的图像HSI差分模型，采用自适应分割算法能在任意条件下自动提取运动目标区域。
It has been focused in compute vision research fields. A improved HSI image difference model based on sequences image difference and second image difference is presented.
给出连续图像帧差分和二次帧差分改进的图像HSI差分模型，采用自适应分割算法能在任意条件下自动提取运动目标区域。
It has been focused in compute vision research fields. A improved HSI image difference model based on sequences image difference and second image difference is presented.
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