搜索资源列表
Robust-Visual-Tracking-
- 2012年的视觉跟踪文献，对物体的外观变化（包括平移，旋转等），在亮度变化的场景效果较好。-The proposed method is tested on 12 challenging video sequences containing targets with abrupt appearance variations, and demonstrates that it outperforms current state-of-the-art methods in accurac
trackingDF
- 这篇文章是2012年中的视觉跟踪方面的文章，主要解决模糊情况下的跟踪情况-This article is a visual tracking in the 2012 article, fuzzy case tracking。
pf
- 粒子滤波(particle filter, condensation,mcmc)源码，C++实现，主要用于视频跟踪-Particle filter source code, C++ , particle filter, condensation, MCMC, mostly used in visual tracking
Feature-Imagination-
- 基于特征联想的视觉跟踪模型，用特征联想来修正特征模型，使跟踪更加鲁棒，使适应目标的突然形变。-Visual tracking model based on features of the Lenovo features of Lenovo to fix the feature model, to make tracking more robust, so to adapt to sudden deformation of the target.
Kernel-particle-filter
- 基于核粒子滤波的视觉跟踪，采用核密度和粒子滤波结合，进行视觉图像跟踪-Nuclear density and particle filter a nuclear particle filter-based visual tracking, visual image tracking
3D-Model_Tracking_Particle
- 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
cvpr12_xu_code
- 视觉追踪通过自适应构造局部视觉模型，追踪效果比较好-Visual Tracking via Adaptive Structural Local Appearance Model
Vision-based-object-identification-and-tracking-f
- Vision based object identification and tracking for mobile robot visual servo control
iRVision-Visual-Tracking-START-UP-GUIDANCE
- funuc robot iRVISION DOC
Analysis-on-Moving-Object
- 计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人 工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通 等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类, 研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉 跟踪算法的未来研究方向。-One of the computer vision
DRL
- 视觉追踪代码，可以很好的区别被追踪物与被追踪物相似的物体。详细参见README文档-Visual tracking code, can be the difference between similar objects tracking objects with tracer. See the README document
MilTrack_matlab_v1.0
- MATLAB demo for paper "Visual Tracking with Online Multiple Instance Learning" by Boris Babenko, Ming-Hsuan Yang, Serge Belongie ,CVPR 2009, Miami, Florida. -MATLAB demo for paper "Visual Tracking with Online Multiple Instance Learning" by Bori
sadasuanfa
- 跟踪领域三大经典算法，PNLearning，Ross_IncrementalTracking_ijcv，Visual Tracking with Online Multiple Instance Learning-Three classical algorithm tracking field, PNLearning, Ross_IncrementalTracking_ijcv, Visual Tracking with Online Multiple Instance Learning
Visual-target-tracking
- 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
likehood
- 针对遮挡、光照变化、尺度变化等复杂环境中的视觉跟踪问题, 提出一种基于后验概率 度量的粒子滤波跟踪算法-For shelter, illumination changes, scale variations in complex environments such as visual tracking problem, a posterior probability metrics based on particle filter tracking algorithm
tracking
- Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance
Debug
- 用于机器人视觉跟踪，把机器人，摄像机，pc机组成一个整体，实现跟踪-For robot visual tracking, the robot, camera, pc machine composed of a whole, to achieve tracking
OpenTLD-master
- 机器视觉应用于各个领域。当前学术界和工业界在目标跟踪方面开展了大量工作，重点研究的算法有MeanShift跟踪算法、基于在线的booting的跟踪算法、基于粒子群优化的跟踪算法和基于模板匹配的跟踪算法等等。对于这些算法的研究已经取得了一定的成果，但是随着视觉跟踪应用的扩大，其跟踪效果已经不能满足需求，一次当前有研究出了新的算法以满足发展需要，其中具有代表性的跟踪算法就是TLD(Tracking Learning Detector)目标跟踪算法。-Machine vision applied to
WMILTracker
- 基于K. Zhang, H. Song., 的文章Real-Time Visual Tracking via Online Weighted Multiple Instance Learning., Pattern Recognition, vol. 46, pp. 397~411, 2013. (IF: 2.632)的代码-K. Zhang, H. Song., Real-Time Visual Tracking via Online Weighted Multiple Instance L
LSH_MATLAB
- Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究-Visual Tracking via Locality Sensitive Histograms