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Description: 基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面
的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平
面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验
证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and laser range finder, a size of an unknown two-dimensional rectangular space Pose measurement algorithm. The algorithm does not need to know the G flat rectangular object vertex coordinates, they only need to know the image coordinates, image coordinates of laser points and the laser ranging results, we can calculate the size of the unknown space rectangular plane in the camera coordinate system bit posture, and to calculate the size of rectangular plane. Through the establishment of monocular hand-eye cameras and laser range finder of the mathematical model, the algorithm is verified. Experimental results show that the algorithm is effective, can be applied to the robot on the space object tracking, positioning, and crawling.
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Author: 苏朗朗 |
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Description: 斗殴行为识别
Strike a Pose: Tracking People by Finding Stylized Poses-Fight acts of identification Strike a Pose: Tracking People by Finding Stylized Poses
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Author: hbli |
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Description: Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time
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Size: 347136 |
Author: Inchara |
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Description: This volume, in the ITECH Vision Systems series of books, reports recent advances in the
use of pattern recognition techniques for computer and robot vision. The sciences of pattern
recognition and computational vision have been inextricably intertwined since their early
days, some four decades ago with the emergence of fast digital computing. All computer vision
techniques could be regarded as a form of pattern recognition, in the broadest sense of
the term.
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Author: Vitali |
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Description: A very good paper that explain tracking facial feature under varying face pose and facial expression-This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical face shape model is proposed to characterize both the global shape of human face and the local structural details of each facial component. Furthermore, multi-state local shape models are introduced to deal with shape variations of some facial components under different facial expressions. During detection and tracking, both facial component states and feature point positions, constrained by the hierarchical face shape model, are dynamically estimated using a switching hypothesized measurements (SHM) model. Experimental results demonstrate that the proposed method accurately and robustly tracks faci
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Size: 958464 |
Author: Ng Jack |
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Description: 本文提出一种复杂条件下基于子空间梯度方向直方图跟踪的方法, 实验结果表明,该方法能够在光照变化、噪声干扰、模糊、目标姿态和尺度改变,以及部分遮挡等恶劣条件下实现准确跟踪,比传统的跟踪方法具有更高的跟踪精度和跟踪鲁棒性,能够满足地面侦察任务在多种复杂条件下对感兴趣目标进行准确跟踪的需求-In this paper, under the conditions of a complex gradient direction histogram based on subspace tracking method, experimental results show that the method can change the lighting, noise, blur, Pose and scale changes and partial occlusion and other adverse conditions to achieve accurate tracking than the traditional tracking method is more robust tracking accuracy and tracking, ground reconnaissance mission to meet the complex conditions in a variety of targets of interest demands accurate tracking
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Author: wenping |
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Description: 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 Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences.
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Author: linuszhao |
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Description: 欢迎视觉革命。在微软的Kinec带领下，您现在可以使用三维计算机视觉技术建立数字化三维模型，人和物体，你可以用手势和语音指令操作。这手势指导，提供所有的技术和概念的信息，你需要为Kinect建立出色应用，使用的加工编程语言和Arduino的微控制器。
无论你是学生，业余爱好者，制造商，玩家，或硬件黑客，Ｔｈｉｎｇｓ Ｓｅｅ让你与几个Kinect的项目运行，给予你用这神奇的三维计算机视觉技术建立你自己的玩意和创意项目的技能和经验。解锁你的能力，建立与Kinect的交互式应用程序。
了解面部识别，步态分析和深度成像
分析和操作点云
用骨架和姿势检测，跟踪检测对象，使用ｂｌｏｃｋ ｔｒａｃｊｉｎｇ 检测物体
使用手势接口作为辅助技术
为设计和制造创建模型，使用三维扫描技术和三维打印机钻研动物和动画的运动跟踪
在这本书中用廉价的现成组件构建书里的每一个项目.-Welcome to the Vision Revolution. With Microsoft’s Kinect leading the way, you can now use 3D computer vision technology to build digital 3D models of people and objects that you can manipulate with gestures and spoken commands. This hands-on guide provides all the technical and conceptual information you need to build cool applications for Kinect, using the Processing programming language and the Arduino microcontroller.
Whether you’re a student, hobbyist, maker, gamer, or hardware hacker, Making Things See gets you running with several Kinect projects, and gives you the skills and experience you need to build your own fun and creative projects with this magical 3D computer vision technology. Unlock your ability to build interactive applications with Kinect.
Learn about face recognition, gait analysis, and depth imaging
Analyze and manipulate point clouds
Track people with skeletonization and pose detection, and use blob tracking to detect objects
Use gestural interfaces f
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Author: hjm |
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Description: Eye Pose Tracking & Gaze Estimation
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Author: ykara |
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Description: 6篇有关跟踪、姿态定位的文章，单位为中科院-6 papers including tracking, or Pose determination
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Size: 14932992 |
Author: 张妙言 |
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Description: 本项目旨在制作一个用于第一人称视角(FPV)遥控飞行的头部姿态追踪系统。系统利用惯性测量单元测量头部运动姿态，生成相应的舵机驱动信号，利用遥控发射器传输到遥控飞机，驱动摄像云台跟随头部运动，达到模拟第一人称飞行的目的。
系统采用ATmega328 MCU；利用 BMA180 三轴加速度传感器、ITG3200 三轴角速度传感器、HMC5883 三轴磁场传感器组成 9 自由度测量单元；通过 1602 LCD 直观显示控制菜单。系统软件基于 Arduino，采用方向余弦矩阵 (DCM) 进行姿态解算。
系统特性
支持三轴云台跟踪
直观的姿态显示和设置菜单
支持外部 PPM 合成和内部 PPM 合成
云台舵机通道可调
可调整舵机运转方向、中立点、运行速度和行程
作者
斑斑，Hazy-This project aims to produce a head pose tracking system for the remote control flight of the first-person view (FPV). The system uses inertial measurement unit to measure head movements posture, generates the corresponding servo drive signals, using the remote control transmitter transmitted to the remote control aircraft, drive the camera head to follow head movements to achieve the purpose of the simulation of first-person flight. Using ATmega328 MCU the BMA180 triaxial acceleration sensor, ITG3200 triaxial angular rate sensor, HMC5883 three-axis magnetic field sensor is composed of nine degrees of freedom measurement unit by 1602 the LCD and intuitive control menu is displayed. The system software is based on the Arduino, the direction cosine matrix (DCM) for the attitude solution. The system features intuitive gesture to support the three-axis head tracking display and setup menu to support the running direction of the external PPM synthesis, and the steering gear of the interna
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Size: 50176 |
Author: szinc |
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Description: 利用KINECT骨架跟踪和深度图像跟踪头部姿态，做到实时跟踪，精度达到正负6度-head pose tracking in the meeting and has high pricise
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Size: 2879488 |
Author: 闫旭 |
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Description: 用Kinect深度图像信息做的头部姿态跟踪，是中文硕士论文，非常详细的跟踪方法和kinect使用方法-head pose tracking used kinect
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Author: 闫旭 |
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Description: opencv最新书籍《Master OpenCV with Practical Computer Vision Projects》。基于opencv2.4.3编写。采用了实例工程方式讲解。-opencv book:
Chapters:
Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami.
Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen.
Ch3) Marker-less Augmented Reality, by Khvedchenia Ievgen.
Ch4) Exploring Structure from Motion using OpenCV, by Roy Shilkrot.
Ch5) Number Plate Recognition using SVM and Neural Networks, by David Escrivá.
Ch6) Non-rigid Face Tracking, by Jason Saragih.
Ch7) 3D Head Pose Estimation using AAM and POSIT, by Daniel Lélis Baggio.
Ch8) Face Recognition using Eigenfaces or Fisherfaces, by Shervin Emami.
Ch9) Developing Fluid Wall using the Microsoft Kinect, by Naureen Mahmood.
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Author: 王邦平 |
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Description: 人脸特征点的检测，姿态估计，对人脸特征点的跟踪很实用-Facial feature points detection，pose estimate，It s useful for face tracking.
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Size: 4261888 |
Author: zhaotao |
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Description: 在目前的人脸图像信息处理领域中，包含有人脸识别、人脸跟踪、姿态估计、表情识别等多个研究方向，然而，所有这些研究方向都涉及到一个人脸标识和定位的问题，即必须知道人脸在图像中的位置以及尺寸——人脸检测。因此，对于一个完整的、自动的人脸信息分析系统来说，人脸检测算法是必不可少的。本文主要是对基于matlab平台的彩色图像皮肤区域分割算法及人脸检测系统的设计做了介绍。-In the face image information processing, including face recognition, face tracking, pose estimation, expression recognition research direction, however, all of these studies are related to the direction of a person the face identify and locate the problem, that is,You must know the position of the face in the image and size- face detection. Therefore, for a complete automatic face information analysis system, the face detection algorithm is essential. This paper introduced the design of the matlab platform based on the area of skin of color image segmentation algorithm and face detection system.
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Author: 陈潇洒 |
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Description: 这是一个计算速度很好的视频跟踪算法，能够帮助我们很好的实现视频跟踪的功能-This is an extension of Georg Nebehay s open-source implementation of Zdenek Kalal s Tracking-Learning-Detection algorithm.
The purpose of this extension is to add the ability to simultaneously apply a single detector across N camera views, with an
independent tracker for each view, additinally making use of known camera properties (pose, plus extrinsic and intrinsic properties)
to improve tracker accuracy via epipolar triangulation.
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Author: zhangxianglong |
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Description: 姿态角辅助的机动目标跟踪算法，实现了异类信息的融合，提高了跟踪精度。-pose aided maneuvering target tracking algorithm, which fused diffeent kind of information and improved the tracking precision.
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Author: 吉兵 |
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Description: The goal of the HumanEva dataset is to develop new techniques, technology, and
algorithms for the automatic articulated pose estimation and tracking of humans. Brown University
is involved in an ongoing effort to develop this dataset of synchronized video and motion capture
data.
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Author: kaw |
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Description: Introduction: The goal of the HumanEva dataset is to develop new techniques, technology, and
algorithms for the automatic articulated pose estimation and tracking of humans. Brown University
is involved in an ongoing effort to develop this dataset of synchronized video and motion capture
data. The dataset is meant to aid research efforts in the general area of developing, testing and
uating algorithms for human motion estimation. Brown University has
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Author: kaw |
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