Description: 这是我根据\"opencv-人脸识别\"和\"背景建模，运动物体检测\"两个程序结合的,内附了我自己合成的
英文版opencv.chm的电子书，希望对大家有帮助，运行程序时请修改cvLoad函数的路径到自己的
OpenCV\\data，该程序主要是通过摄像头读取，边检测边分析人脸的功能-under "opencv-face recognition" and "background modeling, Moving Object Detection "combining the two procedures, enclosing my own synthesis of English opencv.chm of e-books, we hope to help Please operational procedures cvLoad function changes the path of their OpenCV \\ data, The procedure is mainly read by the camera, edge detection edge analysis of the functional Face Platform: |
Size: 1142207 |
Author:ren |
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Description: 集合物体形状/颜色识别功能的全自动安全监视报警器，可以用来检测特定物体是否被移动、或者用于入侵检测等等 -shape/color recognition function of automatic security alarm monitoring device that can be used to determine whether a particular object was moving, or for intrusion detection, etc. Platform: |
Size: 220160 |
Author:姚紫欣 |
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Description: 这是我根据"opencv-人脸识别"和"背景建模，运动物体检测"两个程序结合的,内附了我自己合成的
英文版opencv.chm的电子书，希望对大家有帮助，运行程序时请修改cvLoad函数的路径到自己的
OpenCV\data，该程序主要是通过摄像头读取，边检测边分析人脸的功能-under "opencv-face recognition" and "background modeling, Moving Object Detection "combining the two procedures, enclosing my own synthesis of English opencv.chm of e-books, we hope to help Please operational procedures cvLoad function changes the path of their OpenCV \ data, The procedure is mainly read by the camera, edge detection edge analysis of the functional Face Platform: |
Size: 2146304 |
Author:ren |
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Description: 利用emgucv 所開發的移動物體偵測可以偵測移動物體之方向即位移-Emgucv developed by use of a moving object detection can detect moving objects that is the direction of displacement Platform: |
Size: 8192 |
Author:張乃文 |
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Description: 基于视频图像的运动车辆识别系统主要是由汽车牌照识别和汽车类型识
别两大核心技术构成，它在智能交通领域中有着广泛的应用，同时也是计算机
视觉、图像处理和模式识别等交叉学科研究的热门课题，因此对相关技术的研
究正受到普遍关注。本文正是在这一背景下，对运动车辆识别技术进行了系统
的研究。在车牌识别技术中，本文着重对车牌定位和车牌字符识别等关键技术
所涉及的难点进行了深入的研究。在车型识别技术中，与当前国内外学者侧重
于研究车辆外形、大小的识别不同，本文主要侧重对汽车标志的定位和识别进
行研究。本文提出了解决以上技术中相应问题的理论方法，并在实验中验证了
其有效性，同时这些研究内容对于解决一般的目标识别系统中普遍存在的光
照、噪声、尺度、形状相似、部分遮挡等情况的识别问题有着更为深远的理论
意义。-Recognition system of moving vehicle based on video images mainly consists
of two key technologies:recognition of vehicle_license_plate(VLP)and
recognition of vehicle type.It not only finds wide application in ITS,but also is a
hot point of research in computer vision,image processing and pattern recognition.
So its related technology is attended prevalently.On the above background,we
made a deep and systematic research for recognition of moving vehicle.In
recognition of VLP,the problems of VLP location and VLP character recognition
are studied in this dissertation.In recognition of vehicle type,differing with other
researchers who attend to the recognition of shape,size of vehicle,we pay attention
to the location and recognition of vehiclelogo.The methods to deal with above
problems are proposed in the dissertation and testified in the experiment.At the
same time,our researches have academic significance in object recognition which is
subject to illumination,noise,size,sla Platform: |
Size: 2338816 |
Author:陈忠厚 |
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Description: 运动物体识别。
检测链接到windows摄像头的运动物体，将背景和移动物体区别开来。-Moving object recognition. Link to windows detect camera movement of objects, the background and to distinguish between moving objects. Platform: |
Size: 3676160 |
Author:johnson |
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Description: This method is used for tracking wavelet/optical flow-based
detection for automatic target recognition in the following paper:
Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles” Platform: |
Size: 1355776 |
Author:MemoSergey |
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Description: 利用高斯背景建模，对运动物体进行动态检测，实现视频中的运动目标的识别-Gaussian background modeling, the dynamic of the moving object detection for video of the moving object recognition Platform: |
Size: 2048 |
Author:熊俊涛 |
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Description: 人体运动视觉分析主要包括运动目标检测、 运动 目标分类 、 人体运动跟踪、 人体行为识别与描述四个环
节 ， 在多领域具有广阔的应用前景． 本文从上述四个方面综述了人体运动分析的研究现状， 对人体运动分析的热点
难点进行讨论 ， 对可能的发展方向进行阐述和展望．-Visual analysis includes moving object detection,moving object classfication,human tracking and activity recognition and description. It has broad application prospects in many fields, such as smart vision surveillance,visual reality, intelligent human-computer interface,video compression and computer-aided clinical diagnosis. Acomprehensive survey on vision-based human motion analysis is presented from the above four aspects,and the challenges and future directions are discussed. Platform: |
Size: 700416 |
Author:有来有去 |
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Description: 一个关于视频中移动物体确定的MATLAB识别-A matlab recognition program about extracting moving object in a video Platform: |
Size: 8192 |
Author:huangshenglan |
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Description: 本程序完成了对运动图像的识别与跟踪功能，程序里自带了测试的图像-The program to complete the identification and tracking of moving images, the program comes with the test image Platform: |
Size: 3399680 |
Author:伊米 |
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Description: Moving object recognition -The detection and tracking of small moving targets
Iresearch has been
carried out to solve the problem, Platform: |
Size: 4412416 |
Author:蒋星星 |
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Description: 基于OPENCV的演示程序，能进行动态物体的识别与跟踪，里面有C的源代码，还有可执行文件，是初学者很好的例子。-Based on the OPENCV demo program, can be used for moving object recognition and tracking, which are C source code, and executable file, is a very good example for beginners. Platform: |
Size: 21504 |
Author:张翔雨 |
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Description: 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 tasks is moving object detection and tracking, it combines the advanced technologies together in
many fields such as image processing, pattern recognition, automatic control, artificial intelligence, computer, etc. It is mainly used in
such aspects as military visual guidance, video monitoring, medical diagnosis, intelligent transportation, etc. Object tracking technology has
been used in many important areas, so it has become a major direction of computer vision research. The state of research in visual tracking
algorithms and the common visual tracking algorithms are discussed in this paper. The region based tracking algorithms, active contour based
tracking algorithms, feature based tracking algorithms and model based tracking algorithms are studied. The future research direction for
vision tracking algorithm is discussed. Platform: |
Size: 217088 |
Author:cp |
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Search - moving object recognition