Description: Video Tracker Version 0.0.1
"Visual tracking and recognition using appearance-adaptive models in particle filters" (IEEE transactions on Image Processing, Nov 2004) by Shaohua Zhou, Rama Chellappa and Baback Moghaddam. -Video Tracker Version 0.0.1 "Visual track ing and recognition using appearance-adaptiv e models in particle filters "(IEEE transactio ns on Image Processing, Nov 2004) by Zhou Shaohua. Rama Chellappa and Baback Moghaddam. Platform: |
Size: 3570688 |
Author:薛斌 |
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Description: 详细介绍了KPF(核粒子滤波)算法在视觉目标跟踪中的应用,并与标准的PF进行比较,能得到更好的估计值,鲁棒性也较好。-Details of KPF (nuclear particle filter) algorithm in the visual target tracking application, and the PF with the standard for comparison, can get better estimates, robustness is also good. Platform: |
Size: 343040 |
Author: |
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Description: 粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Michael isard theory some reference to the doctoral dissertation <Visual Motion Analysis by Probabilistic Propagation of Conditional Density> some learn a dynamical matrix. the training needs of the collection and gathering images are included (the original track for the gesture, so pictures are hand picture). collection code to use a different code image_demo (already uploaded) Platform: |
Size: 32040960 |
Author:Rongbin |
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Description: "MCMC Particle Filter for Real-Time Visual Tracking of Vehicles"
This is a paper about tracking by particle filter.
This is very useful. Platform: |
Size: 1360896 |
Author:Wolf |
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Description: This is tracking source code based on
"MCMC Particle Filter for Real-Time Visual Tracking of Vehicles". Platform: |
Size: 107520 |
Author:WangMuLan |
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Description: 基于AR2模型的粒子滤波源代码,可用于图像处理,视觉跟踪,希望可以帮助有需要的人-AR2 model particle filter based on source code can be used for image processing, visual tracking, I hope to help people in need Platform: |
Size: 1024 |
Author:小吴 |
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Description: 本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners.
keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system. Platform: |
Size: 111616 |
Author: |
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Description: 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码,用于实现鲁棒的视觉目标跟踪,其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成,大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化,但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家!-These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! Platform: |
Size: 396288 |
Author:朱亮亮 |
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Description: the Kernel Particle Filter
(KPF)—is proposed for visual tracking in image sequences.
The KPF invokes kernels to form a continuous estimate of the
posterior density function. Particles are allocated based on the
gradient information estimated from the kernel density estimate
of the posterior. Results from simulations and experiments with
real video data show the improved performance of the proposed
algorithm when compared with that of the standard particle filter.
The superior performance is evident in scenarios of small system
noise or weak dynamic models where the standard particle filter
usually fails Platform: |
Size: 343040 |
Author:hythem |
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Description: 2011年IEEE T.的A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter,请大家分享-2011 IEEE T. A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter to share Platform: |
Size: 2617344 |
Author:单昊 |
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Description: 基于粒子滤波的视频目标跟踪技术研究。提出多种跟踪算法,算法效果良好-Based on Particle Filter video tracking technology. Proposed various tracking algorithm, the algorithm works well Platform: |
Size: 9060352 |
Author:黄翔 |
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Description: Color can provide an efficient visual feature for tracking nonrigid
objects in real-time. However, the color of an object can vary over
time dependent on the illumination, the visual angle and the camera
parameters. To handle these appearance changes a color-based target
model must be adapted during temporally stable image observations.
This paper presents the integration of color distributions into particle
filtering and shows how these distributions can be adapted over time. A
particle filter tracks several hypotheses simultaneously and weights them
according to their similarity to the target model. As similarity measure
between two color distributions the popular Bhattacharyya coefficient is
applied. In order to update the target model to slowly varying image
conditions, frames where the object is occluded or too noisy must be
discarded. Platform: |
Size: 226304 |
Author:yangs |
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