Focusing on the application of intelligent surveillance, this paper proposed a new approach in which the combination of face and gait was used for human recognition at a distance in video sequences.
提出了一种将脸部和步态特征相结合，应用于智能监控系统进行远距离视频流中身份识别的新方法。
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。
Moving object detection and tracking in video sequences based on boundary vector field;
本论文的主要工作是研究动态背景下的运动目标检测和跟踪。
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。
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。
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。
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。
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。
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。
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。
This paper proposes a new method of tracking the moving maritime objects in video sequences based on neighboring information fusion using Gaussian mixture model.
本文提出了一种基于高斯混合模型邻域信息融合的海面运动目标检测算法。
Moving targets detection and tracking in video sequences is one of the hotspots that having been widely researched in computer vision and image processing fields.
视频图像序列中运动目标的检测与跟踪是计算机视觉和图像处理领域广泛研究的热点之一。
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。
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。
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