Description: 用C编写基于凌阳SPCE061A芯片的图象识别模块可实现（1）获得数据并处理。（2）控制按扭KEY1，播放物体的形状和颜色。（3）分辩的颜色：红色、绿色、蓝色、黄色。（4）分辩的形状：正方形、长方形、圆形、三角形。（5）控制按键KEY2，小车跟着红色的物体移动，别的颜色不做跟踪。-prepared based on the C Sunplus SPCE061A chip image recognition module can be realized (1) access to data and handled. (2) the control buttons KEY1 broadcast the shape of the object and color. (3) differentiate colors : red, green, blue and yellow. (4) distinguish shapes : square, rectangular, circular, triangular. (5) KEY2 control buttons, a red car with mobile objects, not another color tracking. Platform: |
Size: 23552 |
Author:三石 |
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Description: 去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking Platform: |
Size: 17408 |
Author:李瑞波 |
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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: 很好的动态物体识别和跟踪源码。可以利用摄像头也可以读取AVI文件-Very good dynamic object recognition and tracking of source code. Camera can be used to read AVI files can also be Platform: |
Size: 204800 |
Author:傅晟 |
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Description: 一种snake算法实现轮廓跟踪，可用于图像分割、目标识别等图像处理相关领域。-Of a snake contour tracking algorithm can be used for image segmentation, object recognition and other image processing related fields. Platform: |
Size: 52224 |
Author:feilo |
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Description: 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The paper <Robust Object Tracking using Joint Color-Texture Histogram> is published in International Journal of Pattern Recognition and Artifical Intelligence. Platform: |
Size: 3906560 |
Author:宁纪锋 |
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Description: 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshift algorithm which is a robust statistical method of finding the mode (top) of a probability distribution. Both CAMSHIFT and Meanshift algorithms exist in the library. While it is a very fast and simple method of tracking, because CAMSHIFT tracks the center and size of the probability distribution of an object, it is only as good as the probability distribution that you produce for the object. Typically the probability distribution is derived from color via a histogram, although it could be produced from correlation, recognition scores or bolstered by frame differencing or motion detection schemes, or joint probabilities of different colors/motions etc.
In this application, we use only the most simplistic approach: A 1-D Hue histogram is sampled from the object in an HSV color space version of the image. To produce the Platform: |
Size: 15360 |
Author:黄文伟 |
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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: 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: 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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Description: 基于opencv运动物体识别与跟踪的完整算法，进入主程序后须自己修改视频存放路径参数。-Complete algorithm based the opencv movement object recognition and tracking, into the main program have to modify the video storage path parameters. Platform: |
Size: 7367680 |
Author:李云鹏 |
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Description: 近些年，由于射频技术发展迅猛，应答器有了新的说法和含义，又被叫做智能标签或标签。RFID电子电梯合格证的阅读器（读写器）通过天线与RFID电子标签进行无线通信，可以实现对标签识别码和内存数据的读出或写入操作。典型的阅读器包含有高频模块（发送器和接收器）、控制单元以及阅读器天线。RFID射频识别是一种非接触式的自动识别技术，它通过射频信号自动识别目标对象并获取相关数据，识别工作无需人工干预，可工作于各种恶劣环境。RFID技术可识别高速运动物体并可同时识别多个标签，操作快捷方便。RFID是一种简单的无线系统，只有两个基本器件，该系统用于控制、检测和跟踪物体。系统由一个询问器（或阅读器）和很多应答器（或标签）组成。-In recent years, the rapid development of the radio frequency technology, the transponder has a new argument and meaning, also called smart tags or labels. The RFID reader elevator certificate (reader) through the antenna and the RFID tag for wireless communications, can be achieved for tag identification code and the memory data read or write operations. A typical reader includes a frequency module (transmitter and receiver), the control unit and the reader antenna. RFID radio frequency identification is a non-contact automatic identification technology that uses radio frequency signal automatic target recognition and access to relevant data, identifying work without human intervention, can work in a variety of harsh environments. RFID technology can identify fast moving objects can also identify multiple tags, the operation quickly and conveniently. RFID is a simple wireless system, only two basic components, the system for control, object detection and tracking. System consists of a Platform: |
Size: 491520 |
Author:php |
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Description: Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety,
and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking problem into three
separate problems:
1. Detect a f ace to track
2. Identif y f acial f eatures to track
3. Track the f ace Platform: |
Size: 887808 |
Author:Nurita |
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Description: 视觉目标识别与跟踪是图像分析中的重要研究领域，在现代化社会中具有广泛的发展前景和应用价值。本文深入研究多示例学习方法，将其应用在视觉目标识别与跟踪领域，解决了在目标识别领域中需要大量制作无歧义样本的问题，解决了目标跟踪领域中，易出现跟踪漂移的问题。-Visual object recognition and tracking is an important image analysis research field, has a broad development prospects and value in the modern society. In this paper, in-depth study of multi-instance learning method, its application in the field of visual object recognition and tracking, resolved in the field of object recognition requires a lot of making unambiguous sample problems to solve in the field of target tracking, issue tracking drift prone. Platform: |
Size: 3220480 |
Author:袁玥 |
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Search - object recognition and tracking