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movingtargetdetectionandtracking
- 在道路交通管理中，为了获得车辆的运动数据，早期经常采用的是感应线圈等硬件测量的方法。而如果采用摄像头拍摄的道路视频，再用计算机软件处理的方法，则可以极大的增加方便性和灵活性。本文运动目标检测与跟踪研究如何让计算机从视频图像序列中获得物体运动数据。-Traffic management in order to obtain motion data of the vehicle, is a method often used early induction coil measurement hard
A-complete-system-for-contour
- A complete system for head tracking using Motion-Based particle filter and randomly perturbed active contour
CVPAPERS
- cvpaper里关于跟踪和图像处理的几篇文章-some papers about Low-level vision and image processing and Motion and tracking
sensors-12-17208
- Abstract: Smartphone positioning is an enabling technology used to create new business in the navigation and mobile location-based services (LBS) industries. This paper presents a smartphone indoor positioning engine named HIPE that can be easily
icra07_final_submission_flickinger-(1)
- Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking
kalman-filter
- 假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声。编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, measurement noise is zero mean white noise. Programming using a Kalman filter to achieve tracking moving obj
Releasehelpgood
- 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 datase
Intelligent-Vehicular-Visual-
- 基于特征的视觉里程计系统主要由特征检测与跟踪模块以及位姿计算模块两部分组成.为分析车载视觉里程计系统中引入车辆运动学约束的位姿计算算法性能,根据摄像机成像及视觉几何学原理,采用Matlab结合车辆动力学仿真软件CarSim建立车载视觉里程计仿真平台.该仿真平台由车辆运动仿真模块、成像仿真模块、数据显示与分析模块组成,仿真平台的测试对象为视觉里程计的位姿估计算法模块.该仿真平台充分考虑车载视觉定位系统的运动特性,为研究车辆运动学约束在视觉里程计系统中的应用提供新的思路和工具.对提出的一种全新的基于
smoke-detection
- 一种基于运动块追踪的视频烟雾探测方法,是检测和跟踪技术的结合。 -A video smoke detection method based on motion block tracking is a combination of detection and tracking technology.
opencv-doc
- 图像数据操作（内存分配与释放，图像复制、设定和转换） 图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出） 矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解） 支持多种动态数据结构（链表、队列、数据集、树、图） 基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构） 结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
Overviewoftargettrack
- 这篇综述回顾了视频目标跟踪方法中常用的目标表示方法，并对目标表示方法进行了系统地分类，对现有的目标跟踪方法进行了分类，并对每类中具有代表性的方法进行了详细描述，分析各类别的优缺点。讨论了目标跟踪的难点以及未来的发展趋势，为相关研究人员了解目标跟踪技术提供参考。-In this article，we review the favorite target representation in target tracking，and classify them systematically，then c
CA
- 目标跟踪下的基本CA运动模型，对CA模型进行目标跟踪-For the basic uniform motion model of target tracking, the basic target tracking
data
- Gesture recognition is the mathematical interpretation of a human motion by a computing device. Gesture recognition, along with facial recognition, voice recognition, eye tracking and lip movement recognition are components of what developers refer t
GestureApp_Exe
- Gesture recognition is the mathematical interpretation of a human motion by a computing device. Gesture recognition, along with facial recognition, voice recognition, eye tracking and lip movement recognition are components of what developers refer t
javascriptformvalidation
- Gesture recognition is the mathematical interpretation of a human motion by a computing device. Gesture recognition, along with facial recognition, voice recognition, eye tracking and lip movement recognition are components of what developers refer t
detectAndTrackFaces
- This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are im
Object__Tracking
- This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are im
dingwei
- 文针对高斯噪声环境下静、动态点目标的无线定位、追踪与运动分析等信号 处理问题进行了算法研究,着眼于提高精度与鲁棒性、低成本解决方案、实用化技术 等方面(In this paper, the wireless location, tracking and motion analysis of static and dynamic point targets in Gauss noise environment are presented The algorithm is studied with
无人驾驶车辆模型预测控制_13585781
- 《无人驾驶模型预测控制》由北京理工大学陈慧岩教授团队编著，详细介绍了应用模型预测控制理论进行无人驾驶车辆控制的基础方法，结合运动规划与跟踪实例详细说明了预测模型建立、方法优化、约束处理和反馈校正的方法，给出了Matlab仿真代码和详细图解仿真步骤。 对照原书可更方便/快速的学习代码(The prediction control of driverless model is compiled by Professor Chen Huiyan of Beijing University of tec
无人驾驶车辆模型预测控制包括代码
- 无人驾驶车辆模型预测控制PDF版+原书代码 清晰，经典书籍，具有非常好的参考价值，适合初学MPC的研究者 本书主要介绍模型预测控制理论与方法在无人驾驶车辆运动规划与跟踪控制中的应用。(model Predictive control for self-driving vehicles Clear, classic books, with very good reference value, suitable for beginners of MPC researchers This bo