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针对在背景中检测出运动目标并实施警戒等特定提示，建立了一个人机交互界面。-For in the background to detect moving targets and the implementation of such a specific warning prompted the establishment of an interactive interface.
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O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》.
这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
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object detection matlab files
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一个运动目标检测程序，可以很好的为光流法作铺垫-A moving object detection procedures can be very good to pave the way for the optical flow
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A Moving Object Detection Algorithm Based on Color
Information
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dissertation about moving object detection and tracking
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运动物体检测，模式识别，人体行为识别，实时的，核心英文论文6篇-Moving object detection, pattern recognition, identification of human behavior, real-time,
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本论文是关于利用相邻帧和背景信息的运动对象检测-This paper is on the use of adjacent frames and background information of moving object detection
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运动目标检测方法研究可以用于运动目标检测-Moving target detection method research can be used for moving object detection
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There are two main contributions in this paper. The first is to propose a joint random
field (JRF) model that extends CRF by introducing auxiliary latent variables to
characterize visual scene over time and enhance moving object detection in vide
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extracting background Bit-layer-A method of achieving background is presented
which detect the moving object with statistics from complex
scene. Compared with other methods of achieving image
background, this approach can achieve and update
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matlab codes for moving object detection,matlab codes for moving object detection
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Research in motion analysis has evolved over the years as a
challenging field. Moving object detection and tracking is of
major interest in applications such as traffic monitoring,
military, medicine and biological sciences etc. In this a ne
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一种改进的码本算法，用以进行运动目标检测-
An improved code of this algorithm for moving object detection
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计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人
工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通
等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类,
研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉
跟踪算法的未来研究方向。-One of the computer vision
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a pdf for comparison moving object detection
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几篇关于运动目标检测的学位论文，基于opencv-Several papers on moving target detection dissertation, based on opencv
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一种改进的运动目标检测方法_宁慧英 （个人觉得有参考价值）-An improved method for moving object detection _ Ning Huiying (personally feel that there is reference value)
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研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
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Tracking a moving object through several frames, provided changes frame to frame are on the ord-Tracking a moving object through several frames, provided changes frame to frame are on the ord
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