Description: 这是我自己参考大量的科研论文自己编制的离散高程数据(x,y,h)的三角形网格化源代码能够根据指定离散数据文件自动绘制出三角形网格，并且源代码已经实现了等值点的追踪，大家少加修改，加入拟和算法就可以绘制出等值线，源代码完全采用面向对象的方法编制，对于delphi新手学习面向对象的方法也有很大帮助。编译环境为delphi7操作系统为win2003。大家如果对源代码有何建议请联系我 QQ:58092190,email:seekmzy@gmail.com-This is my reference to the large number of research papers prepared by their own discrete elevation data (x, y, h) of the triangular mesh of the source code can be specified discrete data files automatically mapped mesh, and the source code has achieved the equivalent point tracking, all small change, accession to and algorithms can be mapped contours, the source code uses the object-oriented method for delphi novice learning object-oriented methods have much help. Delphi7 compiler environment for the operating system to Win2003. If you source code to any suggestions please contact me QQ : 58092190, email : seekmzy@gmail.com Platform: |
Size: 229376 |
Author:马占寅 |
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Description: 基于均值漂移理论的该进算法，能对有一定遮挡的目标实现跟踪，可能对学习跟踪的出学者有一定帮助-Based on the theory of mean-shift into the algorithm, can have a certain block to achieve the objective of tracking and tracking of learning may be a scholar has a certain extent, help Platform: |
Size: 209920 |
Author:张浩天 |
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Description: 些程序是一个雷达跟踪一目标的仿真图形,可实现kalman滤波的估计轨迹与真实轨迹的误差,并分别可绘出X,Y方向的跟踪误差,对初学都来说,是一个非常好的学习例子-These procedures is one goal of a radar tracking simulation graphics, can be realized kalman filter estimated trajectory with the true trajectory error, and can be mapped, respectively, X, Y direction of the tracking error for both novice, it is a very good learning examples Platform: |
Size: 1024 |
Author:张海涛 |
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Description: 采用软件无线电的概念来表述主题内容，英文原版。通俗讲解软件接收机的信号捕获、跟踪等原理，附有大量源程序，便于学习过程边学边用。-The use of software radio concept to express the theme of the contents of the original English edition. Popular software on the receiver signal acquisition, tracking and so on principle, accompanied by a large number of source code, to facilitate the learning process to learn as to use. Platform: |
Size: 3060736 |
Author:何宁 |
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Description: HMM的学习问题和解码问题研究
这一模型逐渐被应用到很多领域，
如语音识别、基因关联分析和基因识别、文字识别、图象处理、目标跟踪和信号处理等。
隐马氏模型需要解决三个问题:学习问题、识别问题和解码问题。
-HMM learning problem and decoding study this model being applied to many fields, such as speech recognition, genetic association analysis and gene identification, character recognition, image processing, target tracking and signal processing. Hidden Markov Model of the need to address three issues: learning problems, identify problems and decoding problems. Platform: |
Size: 1646592 |
Author: |
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Description: 基于在线特征学习机制的跟踪算法，本论文拟实现一个基于boosting的分类器在线学习算法，并将之应用于视觉目标跟踪。-Online learning mechanism based on the characteristics of the tracking algorithm, this paper intends to achieve a classifier based on boosting online learning algorithm, and applied to the visual target tracking. Platform: |
Size: 9282560 |
Author:陈霄恒 |
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Description: 粒子滤波的Matlab的学习程序，特点是简单明了，多种参数可以设定，方便于理解算法原理。-Particle filter Matlab learning process, is characterized by simple and clear, a variety of parameters can be set up, easy to understand the algorithm. Platform: |
Size: 1024 |
Author:郭春生 |
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Description: 用openCV编写的SURF特征检测方法，此代码只供学习交流，版权归原作者所有，如有商业利用请于原作者liuliu联系。-SURF prepared by openCV feature detection methods, this code is for learning exchanges, and belongs to original author, if the commercial exploitation of liuliu Please contact original author. Platform: |
Size: 6144 |
Author:于子予 |
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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: HAUSDORFF算法在夜间车辆跟踪中的应用研究与学习参考-HAUSDORFF vehicle tracking algorithm in the evening of applied research and learning reference Platform: |
Size: 209920 |
Author:zhaow666 |
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Description: Nonstationary Channel Estimation
using a Kalman Tracking Filter
卡尔曼滤波算法的一个一个用，可用作 efk学习之用-Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk Platform: |
Size: 164864 |
Author:jerial |
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Description: 人体运动姿态检测与跟踪的视频，可用于运动目标检测与跟踪的学习和理解-Human motion detection and tracking of posture video, can be used for moving target detection and tracking of learning and understanding Platform: |
Size: 374784 |
Author:zhaolong |
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Description: 粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助-Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful Platform: |
Size: 10240 |
Author:张明 |
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Description: 在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。-The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved. Platform: |
Size: 4096 |
Author:李隆基 |
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Description: 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.
Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most act Platform: |
Size: 10570752 |
Author:kankan |
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Description: 《学习OpenCV》：计算机视觉是在图像处理的基础上发展起来的新兴学科。OpenCV是一个开源的计算机视觉库，是英特尔公司资助的两大图像处理利器之一。它为图像处理、模式识别、三维重建、物体跟踪、机器学习和线性代数提供了各种各样的算法。
-" Learning the OpenCV" : computer vision is developed on the basis of the image processing emerging disciplines. OpenCV is an open source computer vision library, Intel funded one of the two major image processing tool. For image processing, pattern recognition, 3D reconstruction, object tracking, machine learning provides a wide variety of algorithms and linear algebra. Platform: |
Size: 13513728 |
Author:liujianyu |
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Description: openCV中文版 附目录
本书主要介绍:
1.透彻介绍OpenCV
2.从摄像机获取输入
3.图像的变换
4.图像的分割和形状的匹配
5.模式识别，包括人脸检测
6.二维和三维场景中的跟踪监测
7.根据立体视觉进行三维重构
8.机器学习算法-the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm Platform: |
Size: 13516800 |
Author:chenchao |
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Description: 《学习OpenCV》：计算机视觉是在图像处理的基础上发展起来的新兴学科。OpenCV是一个开源的计算机视觉库，是英特尔公司资助的两大图像处理利器之一。它为图像处理、模式识别、三维重建、物体跟踪、机器学习和线性代数提供了各种各样的算法。
本书由OpenCV发起人所写，站在一线开发人员的角度用通俗易懂的语言解释了OpenCV的缘起和计算机视觉基础结构，演示了如何用OpenCV和现有的自由代码为各种各样的机器进行编程，这些都有助于读者迅速入门并渐入佳境，兴趣盎然地深入探索计算机视觉领域。-" Learning OpenCV" : computer vision is developed on the basis of image processing on the emerging discipline. OpenCV is an open source computer vision library, is one of two image processing tool funded by Intel Corporation. It is an image processing, pattern recognition, 3D reconstruction, object tracking, machine learning and offer a variety of linear algebra algorithms. Promoters book written by OpenCV, from the perspective of front-line developers in plain language to explain the origin and infrastructure OpenCV computer vision, and demonstrates how to use OpenCV and existing free code for a variety of machine programming, which will help readers get started quickly and getting better, with interest-depth exploration of the field of computer vision. Platform: |
Size: 13494272 |
Author:joyce tse |
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Search - tracking and learning