Description: Author: David Sedarsky
Summary: MatLab GUI for interface tracking and edge velocity determination
MATLAB Release: R14SP2
Required Products: Image Processing Toolbox
Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract.cfm?URI=ol-31-7-906 Platform: |
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Author:Jallon |
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Description: 这个程序演示了如何应用耦合结构空气动力问题，通过Matlab编程，分析了飞行器机翼颤振等问题。-This model demonstrates how to implement a coupled structural-aerodynamic problem.
The wing, otherwise rigid, is allowed to pitch and plunge. The motion of the wing is defined using SimMechanics blocks. The aerodynamic model is a simple, quasi-steady formulation.
Dynamic pressure is manipulated by varying the Mach number & Altitude. You can also vary the CG location of the wing by double clicking on the picture of the BACT subsystem.
The structural, mass, and aerodynamic properties all come from the following
"Modeling the Benchmark Active Control Technology Wind Tunnel Model for Application to Flutter Suppression" by Martin R. Waszak of NASA Langley.
Automatic flutter detection is implemented via a state-machine in Stateflow.
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Author:王振坤 |
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Description: 光流法检测运动物体，速度很快，matlab 实现-motion detection by optical flow, implemented in Matlab, run very fast Platform: |
Size: 6144 |
Author:胡胜红 |
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Description: 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车辆运动学约束的位姿估计内层算法,在此仿真平台上进行性能验证.仿真结果表明,该算法在计算精度与效率上都能够满足实时车载视觉定位的要求.-Mainly by the feature detection and tracking module and pose calculation module composed of two parts based on visual odometry system features. In order to analyze the visual odometry system onboard the vehicle kinematic constraints introduced pose calculation algorithm performance, according to the camera image and visual geometry principle, combined with the use of vehicle dynamics simulation software Matlab CarSim establish visual odometry vehicle simulation platform. The simulation platform by the vehicle motion simulation module, imaging simulation module, the data shows the composition and analysis module, the test object simulation platform for visual odometry bit Pose estimation module. The simulation platform fully into account the motion characteristics of automotive vision positioning system, vehicle kinematic constraints apply to study in visual odometry system to provide new ideas and tools for a new vehicle based on the kinematics proposed inner constraints pose estimatio Platform: |
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Author:zzz |
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Description: 《MATLAB 数字图像处理》是由周品、李晓东 编写，2012年7月30日出版的一本书籍。本书以最新版的MATLAB R2011a为平台，结合大量的实例，全面、系统地讲解了MATLAB在数字图像处理中的实际应用。主要内容包括数字图像处理基础、数字图像运算、图像变换技术、图像的增强处理、图像压缩编码技术、图像复原技术、图像分割技术、图像数学形态学描述等。
第9章：图像分割技术。主要介绍了阈值分割、区域分割、运动分割、边缘检测等内容。-Chapter 9: The image segmentation. It introduces the threshold segmentation, region segmentation, motion segmentation, edge detection and so on. Platform: |
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Author:zhushiyang |
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Description: 用matlab实验运动图像的运动轨迹检测和特征点跟踪-Matlab experiment with the trajectory of motion detection and image feature point tracking Platform: |
Size: 4228096 |
Author:贺荧娇 |
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Description: 基于帧间差分的单目标/多目标的实时跟踪程序，基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2014 The MathWorks, Inc.
Detection of moving objects and motion-based tracking are important
components of many computer vision applications, including activity
recognition, traffic monitoring, and automotive safety. The problem of
motion-based object tracking can be divided into two parts:
# detecting moving objects in each frame
# associating the detections corresponding to the same object over time
The detection of moving objects uses a background subtraction algorithm
based on Gaussian mixture models. Morphological operations are applied to
the resulting foreground mask to eliminate noise. Finally, blob analysis
detects groups of connected pixels, which are likely to correspond to
moving objects.
The association of detections to the same object is based solely on
motion. The mo Platform: |
Size: 1024 |
Author:窝 |
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Search - motion detection matlab