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Emerging.Topics.in.Computer.Vision
- 深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and
Pedestrian Detection and Tracking for Counting Applications
- This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and
fitellipse.zip
- 计算机视觉和视觉测量中常用的椭圆拟合程序。用于视觉测量中的圆形标志点检测。,Computer vision and visual measurement of the ellipse fitting procedure used. Vision for the measurement of circular signs point detection.
GMM
- 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 objec
License-Plate-Recognition-java
- 这个项目涉及了人工智能、机器视觉和神经网络等领域，实现一个车牌自动识别系统(ANPR)。它包括了一系列的数学算法原理，以保证数字车牌的检测与提取、字母分割、归一化和识别-This project involves the artificial intelligence, machine vision and neural networks in the field, the realization of a license plate recognition system (ANPR). It
TracKIT
- TrackIT是一款开放式的机器视觉开发平台，目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件，并在不断添加更新中，采用开源OpenCV、WxWidgets、CMU139等标准工具，使用XML动态解析界面，所有参数在界面上直接调整，同时可立即看到调整效果，并可动态加载组件，可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。
Fabric-Defect-Detection--
- 一种基于opencv的织物缺陷的检测，其中包含了丰富的计算机视觉、图像处理算法以及函数-A method for fabric defect detection based on OpenCV with rich computer vision and image processing algorithms and functions is presented.
CV_Experiments
- 计算机视觉实验的源代码，包括各种canny边缘提取，sift特征提取，摄像头标定，gabor滤波，立体视觉等算法。-Computer Vision experiment source code, including a variety of canny edge detection, sift feature extraction, camera calibration, gabor filtering, such as stereo vision algorithm.
Cross-Correlation-Target-Image-Detection
- 正交相关目标检测，采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization
vision
- 完整的运动物体检测与跟踪算法。OPENCV实现-Integrity of the moving object detection and tracking algorithm. OPENCV to achieve
IDS
- A Java Based Network Intrusion Detection System (IDS)
chepai
- 车牌自动识别系统(ANPR)源代码,这个项目涉及了人工智能、机器视觉和神经网络等领域，实现一个车牌自动识别系统(ANPR)。它包括了一系列的数学算法原理，以保证数字车牌的检测与提取、字母分割、归一化和识别。 -Automatic License Plate Recognition System (ANPR) source code, this project involves the artificial intelligence, machine vision and neural netwo
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
A-real-world-system-for-human-motion-detection-an
- In this thesis we present an operational computer vision system for real-time detection and tracking of human motion. The system captures monocular video of a scene and identifies those moving objects which are characteristically human. This serves a
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
vision[1]
- open source detection face with matlab
Straight Edge Detection
- 用Labview vision平台测量几何图形的轮廓的直边，共大家学习，用的是labview2017(Labview vision platform to measure the geometric contours of the straight edge, a total of everyone learning, using labview2017)
Edge Detection
- 用Labview vision平台测量几何图形的轮廓边界，用的是labview2017(Using the Labview vision platform to measure the outline boundaries of geometric shapes, using labview2017)
Edge-Detection
- An Augmented Reality app that demonstrates basic computer vision concepts such as greyscaling, thresholding, edge detection, homography, corner detection...its a long list. It paints a 3D image on any detected markers. Here is a crude video that
face-detection
- Normal Face detection source code using Haar Cascade Features in Python and C++