Description: Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descriptors and adaptive learning article describes a multi-camera system under the target detection and tracking, and self-learning methods. Useful reference value. Platform: |
Size: 2234368 |
Author:张涛 |
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Description: A complete methodology for object tracking using a ball example and it also deals in reducing run time by using an optimized colour detection based algorithm Platform: |
Size: 4096 |
Author:pd |
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Description: 程序代码说明
用Prewitt算子检测图像的边缘
用不同σ值的LoG算子检测图像的边缘
用Canny算子检测图像的边缘
图像的阈值分割
用水线阈值法分割图像
对矩阵进行四叉树分解
将图像分为文字和非文字的两个类别
形态学梯度检测二值图像的边缘
形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象
-Program code shows the image using Prewitt edge detection operator with different σ values LoG image edge detection operator Canny edge detection using the edge of the image threshold segmentation of the image threshold method of water line segmented image of the matrix quadtree decomposition text and the image is divided into two categories of non-text binary image morphological gradient edge detection of morphological instance- the image from the PCB to remove all the current lines, retaining only the object chip Platform: |
Size: 43008 |
Author:lmj |
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Description: 进行人脸检测；用matlab编程；Rapid Object Detection Using a Boosted
Cascade of Simple Features-boost_code
Rapid Object Detection Using a Boosted
Cascade of Simple Features Platform: |
Size: 765952 |
Author:孙 |
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Description: 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc. Platform: |
Size: 16384 |
Author:朱亮亮 |
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Description: 利用MATLAB语言编写的运动检测程序，可以实现视频中的运动物体检测。-MATLAB language using the motion detection program that can realize video in moving object detection. Platform: |
Size: 621568 |
Author: |
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Description: 用matlab对对象进行边缘提取。里面附带一张lina的照片，检验后可行。-Object edge detection using matlab. Which comes with one lina photos, inspection feasible. Platform: |
Size: 43008 |
Author:吴晓辰 |
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Description: 用帧差法实现运动目标检测，以matlab为开发环境来实现，简单、适用-Use frame differential method to implement motion object detection, using matlab environment for development to realize, is simple
Platform: |
Size: 423936 |
Author:liufeihu |
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Description: This is matlab code for moving object detection using joint color texture.paper along with code is provided. Platform: |
Size: 2947072 |
Author:sam20 |
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Description: 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify. Platform: |
Size: 18237440 |
Author:zhu rg |
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Description: 十字路口车流通量及车身颜色的统计通过MATLAB创建系统对象，用于读入待处理视频，用于色彩空间转换、检测出包含汽车运动的图像块、用高斯混合模型检测背景、对检测出的运动车辆进行框画、标注检测到车辆的个数用于显示结果。颜色提取算法采用 RGB 颜色模型，利用MATLAB进行仿真-Crossing the circulation of the car and body color statistics by MATLAB to create object system, used to read the video to be processed and used for color space conversion, detect image blocks comprising the sports car, with Gaussian mixture model background detection to detect the moving vehicle frame painting, mark inspection to the vehicle number are used to display the results. Color extraction algorithm using RGB color model, using MATLAB simulation
Platform: |
Size: 176128 |
Author:亢菲菲 |
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Description: 在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications) Platform: |
Size: 346112 |
Author:夙愿
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Description: faster_rcnn的matlab试验资料，包括编译好的包，CUDA7.5，matlab2016a，VS2013(this is a good learning resource for object detection using deep learning.
we use faster_rcnn algorithm and matlab coder
cuda version is 7.5
VS version is 12.0
matlab version is 2016a) Platform: |
Size: 100352 |
Author:文静静
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Description: 一、课题介绍
本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。
二、算法流程
结合火焰的面积增长率，角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数，实时显示在GUI上。
三、GUI界面设计(This design is based on MATLAB flame smoke fire detection system. The traditional method of using color has large error recognition and strong limitation. Considering that the flame is real-time and dynamic jumping, the area growth rate, corner and roundness are combined to determine whether there is flame. The test object of the design is video. Through the difference between the next frame and the previous frame, whether there is fire is found and the voice alarm can be sent out. This design has a personal computer interactive GUI interface, the interface is friendly. It's a good choice for BiShe.) Platform: |
Size: 36622336 |
Author:MATLAB道长 |
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Search - OBJECT DETECTION USING MATLAB