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.
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.
它采用类似差分的方法从图像序列的多帧图像中检测出运动目标区域。
Motion object region is extracted from multi-frame images in image sequences by using similar difference method.
他们需要策划回到扫运动目标区域用哈伯太空望远镜两年后第一次进行了比较研究。
Plotting their motion required returning to the SWEEPS target region with Hubble two years after the first observations were made.
目的研究人体上肢对前方平面不同区域目标点的拾取运动特性和工效。
Objective to study pointing movement characteristics and ergonomics when human upper limb touches different targets on the front board.
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.
该方法先在静态图像中分割出感兴趣区域，继而仅在感兴趣区域中应用变形的时间差分法来检测运动目标。
Those regions of interest are quickly segmented first and then a modified temporal differencing method is applied to detecting the moving objects.
当运动目标相互遮挡时，在卡尔曼滤波器预测区域内采用交叉搜索法实现多个运动目标的精确匹配。
When a dynamic occlusion occurred between two or more objects, the accurate matching of several moving objects could be obtained by using cross search method in the forecast area of Kalman filter.
该算法首先利用分块高阶统计算法和基于最大类间方差的阈值算法得到目标的运动区域检测模板。
First, block higher order statistics and threshold via local maximal between-cluster variance are used to get the motion detection mask.
对于待跟踪的运动目标，采用三帧差和区域增长法分割目标并得到主颜色信息。
We used frame difference and region growing method to divide target and get main color information.
视频运动对象分割的目标是从视频帧序列中间分割出满足一定特征的语义区域。
Segmentation of video moving object is extraction of semantic area meet certain characteristics from video sequence.
还结合序列图像的相关性，运用免疫计算方法，分割出目标运动区域，形成目标模板，然后在运动序列的各帧动态更新模板。
In light of sequence images' relevance we have utilized immune algorithm to segment object's moving areas and form object templates.
该文介绍的这一方法采用了动态目标区域检测的技术来追踪运动车辆，所谓动态目标区域检测就是指被检测区域是动态更新的，是随着被检测对象位置的变化而改变的。
The approach proposed by the writer adopts the technique of dynamic target region detection. Its core is that the region to be detected is dynamic and is changing with the target's change.
该文给出了一种运动目标的跟踪算法，它与云台设备控制相结合，可使被跟踪目标始终位于图像的中心区域。
This paper presents a real-time tracking system which tracks moving object and makes the target always lie in the center of image frame assisted by controlling a servo device.
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.
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.
人体运动目标检测方面，利用纵向投影直方图确定运动目标的顶部位置，根据顶部位置来确定头肩区域。
On human body moving object detection, the top of the moving object is located by vertical projection histogram, and the head and shoulder is located according to top position.
人体运动目标检测方面，利用纵向投影直方图确定运动目标的顶部位置，根据顶部位置来确定头肩区域。
On human body moving object detection, the top of the moving object is located by vertical projection histogram, and the head and shoulder is located according to top position.
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