A key technique in MPEG 4 is extracting video objects from video sequences.
从视频序列中提取视频目标是MPEG -4中的关键技术之一。
This paper presents an algorithm of detecting moving objects in video sequences.
本文提出了一种视频序列中运动目标检测的方法。
The video sequences of YUV format are often used in video information processing.
视频信息处理中常需用YUV格式的图像序列。
This paper presents a method to measure speed of vehicles in video sequences conveniently and rapidly.
为了方便快速地进行车速测量，提出了一种用于测量视频图像中车辆速度的方法。
Experimental results for several video sequences demonstrate the effectiveness of the proposed approach.
对多个视频序列的实验结果表明，所提出的方法的有效性。
Compared with the original video sequences before watermark, PSNR of watermarked frames is reduced slightly.
与嵌入水印前的原视频图像相比，嵌入水印后的视频图像信噪比损失很小。
This paper discusses detection and tracking of moving human target from static background in video sequences.
本文对静止背景下视频序列中的运动人体检测和跟踪方法进行了研究。
Video sequences are divided into shots first, in which video objects segmentation and tracking are implemented.
视频序列首先被分成一个个的镜头，在每个镜头内对视频对象进行分割和跟踪。
Present watermarking algorithms are mainly proposed for still images and audio signals, few for video sequences.
当前提出的许多水印算法大部分都是基于静止图像和声音信号的，针对视频的水印算法还较少。
Finally, the experiments on the video sequences were performed to verify the robustness and validity of the method.
最后，通过实拍视频序列的试验，证明算法的有效性和可行性。
Using real video sequences, we demonstrate that our method is effective even if multiple objects are moving in the scene.
使用真实的视频序列，我们证明了我们的方法是有效的，即使多个对象移动在场景里。
This paper represents a simple moving foreground segmentation method in video sequences only using their temporal information.
针对视频序列，仅利用其时域信息，提出了一种简单有效的运动前景分割算法。
Experiments conducted on several video sequences show that our enhancement scheme can considerably improve the accuracy of OCR.
不同测试视频序列的实验结果表明，该方法可以有效提高视频文本的OCR软件识别率。
For video sequences, we introduce such techniques as shot detection, representation of shot content, semantic scene description.
对于视频序列，则介绍了镜头检测、镜头内容表示、场景的语义描述等技术。
A computer with a fast processor outputs smooth video sequences with a sound track that is perfectly coordinated with the action.
配有快速处理器的计算机输出光滑的配有动作的声音影像。配有动作的声音影像。
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。
A computer with a fast processor outputs smooth video sequences with a sound track that is perfectly coordinated with the action.
配有快速处理器的计算机输出光滑的配有动作的声音影像。
We develop the prototype of above video structural analysis system and make experiments based on different kinds of video sequences.
本文实现了视频结构分析系统的原型，并在多种类型的视频序列集合上进行了实验。
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)。
In this paper, an automatic segmentation algorithm for moving objects in video sequences based on dynamic background construction is proposed.
提出了一种基于动态背景构造的视频运动对象自动分割算法。
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。
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。
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。
Then, in forth chapter, we choose a video sequences which contain three scenarios to test the feasibility and practical of abandoned objects detection.
随后在第四章，本文选用一段包含有三类场景的视频序列对遗留检测算法的可行性和实用性进行试验。
Experimental results on different video sequences show that the method is capable to obtain most of the foreground both in indoor and outdoor environments.
利用该方法对不同的视频序列进行了测试，结果证明该方法能够在室内外的不同环境下提取出较为完整的运动前景。
Object tracking is the process that to search the most similar parts to targets in video sequences, which is an important research topic in computer vision.
目标跟踪是指在一段视频序列中寻找与指定目标最相似的内容，是计算机视觉的一个重要研究方向。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
视频运动对象的自动分割是实现新一代对象基视频编码标准MPEG - 4的重要技术，本文提出了一种基于帧内图像分区的运动对象自动分割算法。
An algorithm extracting video object is proposed by utilizing the HOS (higher order statistics) and multi-resolution watershed algorithm in video sequences.
提出了将高阶统计运动检测和多尺度分水岭相结合的视频目标分割算法。
An algorithm extracting video object is proposed by utilizing the HOS (higher order statistics) and multi-resolution watershed algorithm in video sequences.
提出了将高阶统计运动检测和多尺度分水岭相结合的视频目标分割算法。
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