视频目标跟踪算法近年来成为越来越多研究者关注的热点。
Visual object tracking has been a hot topic among more and more researchers in recent years.
近年来，非刚体目标跟踪技术作为视频目标跟踪中的一个难点受到了广泛关注。
Recently, as a difficult problem in video object tracking non-rigid object tracking has received much more attention.
通过粒子滤波技术，研究了如何整合颜色特征、前景信息和积分图运算等技术实现视频目标跟踪的粒子滤波算法。
After studying particle filter technology, a moving object tracking algorithm based on a particle filter was developed, integrating foreground information, color features and an integral image method.
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。
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.
本论文主要研究视频序列图像中运动目标识别与跟踪的算法。
The thesis is focused on the study of algorithm for moving target recognition and tracking in video sequence images.
对于输入的一组由静止摄像机捕获的MPEG -2视频流，该算法不需对其进行解码即可对场景中的运动物体直接进行目标跟踪。
The input of the algorithm is MPEG 2 video stream captured by a stationary camera. Then the algorithm tracks moving objects in the stream without decoding it.
视频监控方法通过分析拍摄的交通图像序列，对交通目标进行检测、识别和跟踪，并对其行为进行分析和判断。
By analyzing the traffic image sequence, video surveillance method carries out the detection, recognition and tracking of traffic targets, so as to identify and judge their behaviors.
实验结果表明，本算法相对于均值偏移算法有较好的改进，能对视频中的运动目标实现检测和连续跟踪，对遮挡也有较好的鲁棒性。
The results demonstrated that the algorithm has great improvement relative to mean shift, it could detect and track the video moving target continuously and had preferable robustness for occlusion.
例如按内容对视频数据进行检索和查询，静态场景监测系统，红外目标跟踪与识别系统等。
For example, the applications are content-based video data indexing and querying, site monitoring system, infrared targets tracking and recognition system.
对双前沿活动轮廓模型进行了改进，提出一种鲁棒的视频目标轮廓跟踪新方法。
A robust and novel method for video object contour tracking by improving the dual-front active contour model.
针对实时视频中的运动人体目标，提出一种基于人脸肤色和特征的快速人脸检测和跟踪方法。
For fast detecting and tracking human face in real-time video, a method based on the color and character of face was proposed.
研究了实时视频采集和高速目标识别检测、跟踪系统模型，分析了功能状态。
This paper researched the model of the real-time video collecting and object detecting and tracking system and analyzed the system function.
阴影对于视频跟踪系统是一种严重的干扰，尤其是在一些测定目标尺寸的应用中，因此对阴影处理的研究是一项很有意义的工作。
Shadow has great impact on visual tracking system, especially in some applications that need to measure the size of the object. It is a meaningful job to deal with shadow.
动态目标检测与跟踪是计算机图像和视频处理的基础，广泛地应用在工业、医学、军事、教育、商业、体育等领域中。
Moving target detection and tracking are foundation of computer images and video processing work, which widely used in industrial, medical, military, education, business, sports and other areas.
在目标跟踪、视频编码等领域都需要对全局运动进行快速准确的估计。
Fast and accurate estimation of global motion is necessary in target tracking, video coding and etc.
视频图像目标的搜索跟踪是图像处理应用的一个重要领域。
Search and tracking system for video image target plays a great role in the field of digital image processing.
视频目标的检测与跟踪是数字视频处理、分析应用的一个重要领域，在民用与军事上有着广泛的应用。
Video Target detection and tracking is a very important field in digital video processing and analysis. It is widely used civilly and militarily.
本文详细地探讨了基于视频的移动目标检测和视频跟踪技术，并给出了一个成功的应用实例。
This paper studied technologies of moving object detection and video surveillance tracking, and presented target tracing project which had applied a successfully.
同时利用模板刷新、相关后处理等算法，在高复杂背景下实现实时数字图像信号处理和视频图像的目标跟踪，达到稳定的、准确的跟踪效果。
The real-time target tracking of digital image processing and video image in the high complicated background was realized, and a stable, accurate tracking effect was gotten.
形状、尺寸、运动方向、旋转方向和光辐射强度等变化是航天测控视频自跟踪系统目标的重要动态特性。
Shape, dimension, moving direction, rotating direction and light radiation intensity are important dynamic characteristics of the object in space telemetry and telecontrol video auto-tracking system.
得到视频的运动信息以后，需要把跟踪结果以标准化的表述形式记录和保存，这样视频运动目标分析的结果才能够更好的为人所用。
When we get video motion information, tracing results need to be recorded and saved in some standard expressive way, so that video motion analyzing results can be utilized effectively.
运动目标跟踪是计算机视觉领域非常活跃的一个课题，而且有着非常广泛的应用，例如视频会议、机器人导航、虚拟现实等等。
Moving objects tracking is an active problem in computer vision and has a wide variety of applications, such as videoconference, robotics navigation, virtual reality etc.
从视频运动背景中检测与跟踪运动目标通常需要对背景进行补偿校正。
The compensation of motion background is always necessary for detection and tracking motion object.
本文主要研究监控视频的运动目标分析的基础部分：基于特征匹配的运动目标跟踪算法以及跟踪结果的标准化描述。
This paper mainly discusses on the essential part of video moving object analyzing technology-moving objects tracking algorithm and the standard description of moving objects tracking results.
本文重点研究了在MPEG压缩视频流中的运动目标检测与跟踪问题。
This thesis focuses on moving object detection and tracking in MPEG-compressed videos.
实验结果表明，该算法能对视频中的运动目标实现检测和连续跟踪，对遮挡也有较好的鲁棒性。
The experimental results demonstrate that the proposed algorithm can detect and track the moving object consecutively in video and has better robustness to occlusion.
视频监控跟踪系统是从图像信号中实时地自动识别目标，提取目标位置的有关信息，并自动跟踪目标运动的综合伺服系统。
Video supervision tracking system is a servo system, that can identify the target and pick up its position information from image sequences and track it automatically and on real-time.
大量视频序列测试的结果表明，在场景遮挡、光照变化等因素的影响下，算法能够对目标外观以及尺度的变化进行稳健、实时和有效的跟踪。
Experimental results show that the method keeps up with the object appearance and scale changes, and is robust under the influence of occlusion and illumination factors, etc.
大量视频序列测试的结果表明，在场景遮挡、光照变化等因素的影响下，算法能够对目标外观以及尺度的变化进行稳健、实时和有效的跟踪。
Experimental results show that the method keeps up with the object appearance and scale changes, and is robust under the influence of occlusion and illumination factors, etc.
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