Description: 基于matlab做的三维射线追踪的源代码。供大家交流之用。-based on Matlab do 3D ray tracing the source code. For exchange purposes. Platform: |
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Author:ym |
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Description: 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The paper <Robust Object Tracking using Joint Color-Texture Histogram> is published in International Journal of Pattern Recognition and Artifical Intelligence. Platform: |
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Author:宁纪锋 |
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Description: 目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据,
对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。
下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。-Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions. Platform: |
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Author:石志强 |
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Description: 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc. Platform: |
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Author:朱亮亮 |
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Description: matlab 视频中运动目标追踪代码 this programs identifies the moving objects in a video ( continious frames) and displays the moving object in a window.
when you execute this code just check whether the input video is supported in matlab r not. so for the testing i am attaching a zip file which contains the code and sample video that i have found in internet.
-video moving target tracking matlab code Platform: |
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Author:archer |
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Description: “Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness. Platform: |
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Author:happy |
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Description: Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
-Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
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Author:mohit |
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Description: 各种视觉跟踪算法总结，包括matlab和c,c++代码-This code library is for research purpose only.
We distribute our library under the GNU-GPL license.
If you use this library or the dataset, please cite our paper:
[1] Y. Wu, J. Lim, and M.-H. Yang, ¡ °Online Object Tracking: A Benchmark,¡ ± in CVPR, 2013.
The project website is http://visual-tracking.net/ and the library will be updated on it.
The information for trackers is listed in the file Trackers.txt.
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Author:Feng Zheng |
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Description: matrioska-library-vision-matlab and c code
it s library for object tracking - very good - programming in ruby Platform: |
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Author:fanta fanta 155 |
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Description: 用matlab编写的边界跟踪算法，用到了freeman链码和爬虫法，可以有效的跟踪单个物体边界，适合于初学者。-
Prepared using matlab boundary tracking algorithm uses a freeman chain code and reptiles method can effectively track a single object borders, suitable for beginners. Platform: |
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Author:王要峰 |
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Description: A simple approach to identifying red object in a real world image and establishing its location in the image. For a detailed understanding of the code, visit https://letsrobo.wordpress.com/2016/01/31/matlab-magic-ii-tracking-and-locating-red-object/.
Regards
Shivam Platform: |
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Author:Shivam Shukla |
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Description: In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness. Platform: |
Size: 7226368 |
Author:大大大大大澈儿 |
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