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: 23608 |
Author:三石 |
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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: 目标跟踪的两个算法，分别是运动变化和基于高斯权值的颜色空间HSI的meanshift算法-Two target tracking algorithm, namely, Gaussian-based movement and the right to change the value of the HSI color space meanshift algorithm Platform: |
Size: 4096 |
Author:郑锦 |
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Description: 跟踪摄像机中的物体，opencv源代码，点击图像中的物体后会跟踪目标，并在目标上标记-Tracking objects in video camera, opencv source code, click on the image objects will be tracking the target, and target marking Platform: |
Size: 2048 |
Author:陈皓 |
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Description: meanshift跟踪的matlab源码，利用物体的颜色对物体进行跟踪-meanshift tracking matlab source, using the color of objects on the object tracking Platform: |
Size: 3072 |
Author:sunflowerli |
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Description: 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filtering, Mean-shift, Camshifi algorithm, particle filter, Snake model the application of Kalman filtering method designed a coal miners out of automatic monitoring system a new Gaussian mixture model based on the color feature extraction method to overcome the existing Camshift algorithm Continuousl y Adaptive eanshift track target feature extraction accuracy and low computational complexity and high defects Platform: |
Size: 1343488 |
Author:田卉 |
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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: 一种运用边缘矢量场的图象分割算法得到连续的边缘信息并做跟踪.-This image segmentation utilizes an edge vector field (EVF) within the curve evolution framework by using both color and texture features.
The JSEG segmentation aims to achieve consistent segmentation and tracking results for scenes with arbitrary non-rigid object motion.
Platform: |
Size: 759808 |
Author:dianalee |
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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: A simple example showing how to track an object with particle filter. Likelihood is based on Bhattacharya distance of color histogram. Platform: |
Size: 13255680 |
Author:sofi |
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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: 《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly related to content of the
video. However, the developed systems are still too slow for a broad application of
the technique. To increase the accessibility of direct manipulation a system has to
fulfill certain requirements:
• Computation times have to be so small that the system can work in situation
with time constraints.
• The system has to accommodate for the user’s greater comprehension of a
scene. This includes camera motion, fore- and background, and occlusions.
Based on the requirements, we developed and implemented the DRAGONEYE system.
The tracker employs point tracking, with points provided by SIFT [Lowe,
2004], and color tracking with the CAMShift algorithm [Comaniciu et al., 2003]. A
model of the tracked object is built and continuously updated to fit the current conditions.
This model allows the detection and recover Platform: |
Size: 38917120 |
Author:童癸 |
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Description: 对变化的视频序列进行对象追踪,检测边缘图象,对感兴趣的图象进行颜色约束.-Video sequences on the object change tracking, edge detection image, the color of images of interest bound Platform: |
Size: 819200 |
Author:胡小梅 |
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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: 如果要跟踪的物体颜色和背景色有较大区别，可用基于颜色的跟踪 如CAMSHIFT 鲁棒性都是较好的。 此源码是一个opencv自带的CamShift算法使用工程实例（有非常详细的注释）。该实例的作用是跟踪摄像头中目标物体，目标物体初始位置用鼠标指出，其跟踪窗口大小和方向随着目标物体的变化而变化。-If you want to track the object color and background color is quite different, color-based tracking is available as CAMSHIFT robustness are better. This source is one that comes with opencv CamShift algorithm works (there are very detailed notes). The role of the instance is the camera tracking the target object, the initial position of the target object with the mouse pointed out that its tracking window size and direction of change with the target object changes. Platform: |
Size: 4096 |
Author:fire |
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Description: 根据颜色来跟踪的一段C++源码，可实现简单的目标跟踪，且打印跟踪轨迹。-According to some C++ color tracking source, simple tracking, and print tracking trajectory. Platform: |
Size: 1330176 |
Author:fire |
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Description:
This code is a Matlab implementation of the tracking algorithm described in:
Object Tracking Using Adaptive Object Color Modeling
===============================================================================
The code runs on Windows 10 with MATLAB R2016a.
a test sequence test.avi is included so you can simply run Demo.m
Object center locations are saved in output.mat-
This code is a Matlab implementation of the tracking algorithm described in:
Object Tracking Using Adaptive Object Color Modeling
===============================================================================
The code runs on Windows 10 with MATLAB R2016a.
a test sequence test.avi is included so you can simply run Demo.m
Object center locations are saved in output.mat
================================================================================
Platform: |
Size: 3108864 |
Author:Ehs R |
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Search - object color tracking