Experimental results show that the algorithm can save more bits at low bit-rates and greatly reduce the encoding time when small motion video sequences are encoded.
实验结果显示在低码率下，该算法能够大大节约编码的码字，而且在小运动序列时，可以显著减少编码的时间。
Based on the motion vector distribution characteristics of real video sequences, a new cross-hexagon search algorithm is proposed.
本文基于现实视频序列中运动向量的分布特征，提出了一种十字交叉六边形搜索算法。
The preprocessing of gait sequences is extract human motion from gait video. It mainly includes background model, foreground detection and morphological postprocessing.
步态序列图像预处理就是从输入序列图像中检测人的运动，主要包括步态序列图像背景建模、前景检测和形念学后处理等工作。
Based on the motion vector distribution characteristics of real video sequences, a new cross-hexagon search algorithm (NHEXS) is proposed.
本文基于现实视频序列中运动向量的分布特征，提出了一种十字交叉六边形搜索算法(NHEXS)。
The fast integer pixel motion estimation algorithm for video sequences which are smooth, vary slowly and have many background blocks is discussed.
首先讨论了针对运动量较小的、包含有大量背景块的视频序列的快速运动估计算法，包括整像素和半像素快速算法。
The time redundancy in video sequences can be eliminated by motion estimation. Block matching is a popular motion estimation method, adopted by all video codec standards.
视频编码通过运动估计消除时间冗余信息，块匹配方法是目前所有视频编码标准采用的运动估计方法。
Experimental results for many video sequences show that the method can eliminate high frequency tremble, remain active motion of camera and realize real time image stabilization satisfactorily.
实验结果说明该方法可以较好地去除高频抖动，保留摄像机的主动运动，实现实时稳像。
Second, a motion vector filter (MVF) is introduced to correct the false estimated motion vectors caused by partial similarity in the video sequences.
接着运动矢量滤波器修正了由于局部相似造成的错误运动矢量。
To resolve the problems existed in the estimation of motion in video sequences, a novel method combining gray projection in spatial domain and phase correlation in frequency domain is proposed.
针对视频图像运动检测问题，提出一种空域灰度投影和频域相位相关相结合的亚像素配准方法。
Aim at video sequences with dynamic background, the CNN video motion segmentation algorithm based on optical flow field threshold is presented.
针对背景相对运动是视频序列，提出了基于光流场阈值的CNN视频分割算法。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
应用推荐