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: This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation. Platform: |
Size: 75776 |
Author:Alex |
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Description: This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation. Platform: |
Size: 49152 |
Author:Alex |
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Description: This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation. Platform: |
Size: 69632 |
Author:Alex |
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Description: 人民邮电版图像处理源码，车牌识别，数字识别系统源代码，路线识别（机器人视觉），形态学处理，数字识别，字母识别，边缘检测，图像分割-Posts And Telecommunications News source version of image processing, license plate recognition, digital identification system source code, line identification (robot vision), morphological processing, digital identification, letter recognition, edge detection, image segmentation Platform: |
Size: 6606848 |
Author:杨山 |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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Description: 图像识别在大楼安防中的应用例子，基于运动物体检测技术的摄像监控检测。-Image recognition applications in building security in the example of object detection based on motion detection technology for video surveillance. Platform: |
Size: 126976 |
Author:zhangdy |
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Description: Pivoting Object Tracking System - This project implements an object recognition system,
where a camera tracks the position of an object. The camera
is mounted on an iRobot Create two-wheeled robot, which
rotates according to the control signal generated by our object
tracking algorithm. Meanwhile, it displays 320200
color video on a VGA display.We use a simple object recognition
algorithm based on color information of the image
coming from the camera. In our tests, the system is able track
objects of single colors such as white, red, orange or blue
if there is sufficient contrast between the object and background. Platform: |
Size: 10240 |
Author:Dang Tien Dat |
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Description: built in editor and Java .... Advanced object recognition and tracking technology for video surveillance, traffic ...
www.cs.cmu.edu/~cil/v-source.html - Cached - Platform: |
Size: 290816 |
Author:sakthivel |
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Description: This paper will attempt to analyze and compare a number of different existing
approaches to human detection in video. Even though there have already been
a number a papers written on the topics of skin and face detection this paper
will go beyond these analyze, culminating in an open source package aimed at
anyone working with image processing and object recognition. I will provide a
comprehensive up to date open source package containing implementations of the
algorithms based on the most recent research concerning human presence detection.
The package will include libraries for skin, face, eyes detection which together can
be used for detecting human presence in video. The system is build so that it can
applied to both real-time data although with lower detection rate and static data
(images, video) for oine processing with higher detection rate. Platform: |
Size: 91136 |
Author:linuszhao |
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Description: KLT 光流法 GPU的实现，需要显卡，大家赶快下吧，保证高质量-This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation. Platform: |
Size: 708608 |
Author:wangxi |
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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: The Discrete Wavelet Transform (DWT) is used in a variety of signal processing
applications, such as video compression , Internet communications compression
, object recognition , and numerical analysis. It can e_ciently represent
some signals, especially ones that have localized changes.
v Platform: |
Size: 3072 |
Author:Ahmed |
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Description: 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.
Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most act Platform: |
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Author:kankan |
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Description: SIFT特征（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe 在1999年所发表，2004年完善总结。其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。-Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, and match moving. Platform: |
Size: 8782848 |
Author:张博 |
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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: 为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点，提出1 种基于决策树的多特征检测算法，并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息，通过计算各特征的信息增益建立决策树，将搜救目标检测问题分解成3 层决策树分类问题. 实验表明，该算法能够提高多特征目标检测的效率，在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition methods in dealing with space distribution of the shortcomings of the highly complex data, proposed a decision tree-based multi-feature detection algorithm, and apply it to video-based maritime search and rescue target detection. The algorithm first extracts the image in the color, brightness, and other information, decision trees, established by the information gain to calculate the characteristics of the rescue target detection problem is decomposed into three layers of the decision tree classification. experiments show that the algorithm can improve the efficiency of the multi-feature object detection in the lifeboat, to obtain better results in the raft and maritime search and rescue of target detection applications. Platform: |
Size: 168960 |
Author:majun |
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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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Description: Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.
The algorithm is patented in the US the owner is the University of British Columbia.-Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.
The algorithm is patented in the US the owner is the University of British Columbia. Platform: |
Size: 90112 |
Author:dhivya |
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Description: 本程序开发环境：vc6.0 opencv1.0
整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。
实现功能： 能实现视频中物体跟踪，但必须是手动圈住才行，摄像头是usb摄像头.
打开车牌图片，能进行定位，车牌分割，字符分割，字符识别。-英语
简体中文
The program development environment: VC6.0 opencv1.0
Function: in order to achieve automatic vehicle tracking, detection and take photographs, location, identification, tracking and camera is not achieved.
Function: object tracking in video, but must be manually only, the camera is a USB camera.
Open license plate picture, locate, license plate segmentation, segmentation, and character recognition. Platform: |
Size: 2515968 |
Author:神行 |
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Search - object recognition in video