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计算机视觉、机器学习相关领域论文

十一、目标、行为识别Object, ActionRecognition:

·           ActionRecognition by Dense Trajectories[Project][Code]

·           ActionRecognition Using a Distributed Representation of Pose andAppearance[Project]

·           RecognitionUsing Regions[Paper][Code]

·           2DArticulated Human Pose Estimation[Project]

·           FastHuman Pose Estimation Using Appearance and Motion viaMulti-Dimensional Boosting Regression[Paper][Code]

·           EstimatingHuman Pose from Occluded Images[Paper][Code]

·           Quasi-densewide baseline matching[Project]

·           ChaLearnGesture Challenge: Principal motion: PCA-basedreconstruction of motion histograms[Project]

·           RealTime Head Pose Estimation with Random Regression Forests[Project]

·           2DAction Recognition Serves 3D Human Pose Estimation[Project]

·           AHough Transform-Based Voting Framework for ActionRecognition[Project]

·         Motion InterchangePatterns for Action Recognition in Unconstrained Videos[Project]

·       2D articulated humanpose estimation software[Project]

·       Learning and detectingshape models [code]

·       Progressive Search SpaceReduction for Human Pose Estimation[Project]

·       Learning Non-Rigid 3DShape from 2D Motion[Project]

十二、图像处理:

·         DistanceTransforms of Sampled Functions[Project]

·       The Computer VisionHomepage[Project]

·       Efficient appearance distancesbetween windows[code]

·       Image Explorationalgorithm[code]

·       Motion Magnification 运动放大[Project]

·       Bilateral Filtering for Grayand Color Images 双边滤波器 [Project]

·       A Fast Approximation of theBilateral Filter using a Signal Processing Approach [Project]

十三、一些实用工具:

·           EGT:a Toolbox for Multiple View Geometry and Visual Servoing[Project] [Code]

·           adevelopment kit of matlab mex functions for OpenCVlibrary[Project]

·           FastArtificial Neural Network Library[Project]

十四、人手及指尖检测与识别:

·           finger-detection-and-gesture-recognition [Code]

·           Handand Finger Detection using JavaCV[Project]

·           Handand fingers detection[Code]

十五、场景解释:

·           NonparametricScene Parsing via Label Transfer [Project]

十六、光流Opticalflow:

·        High accuracy optical flowusing a theory for warping [Project]

·         DenseTrajectories Video Description [Project]

·       SIFT Flow: DenseCorrespondence across Scenes and its Applications[Project]

·       KLT: An Implementationof the Kanade-Lucas-Tomasi Feature Tracker [Project]

·       Tracking Cars UsingOptical Flow[Project]

·       Secrets of optical flowestimation and their principles[Project]

·       implmentation of theBlack and Anandan dense optical flow method[Project]

·       Optical FlowComputation[Project]

·       Beyond Pixels: ExploringNew Representations and Applications for Motion Analysis[Project]

·       A Database andEvaluation Methodology for Optical Flow[Project]

·       optical flowrelative[Project]

·       Robust Optical FlowEstimation [Project]

·       optical flow[Project]

十七、图像检索ImageRetrieval:

·           Semi-SupervisedDistance Metric Learning for Collaborative ImageRetrieval [Paper][code]

十八、马尔科夫随机场Markov RandomFields:

·        Markov Random Fields forSuper-Resolution [Project]

·       A Comparative Study ofEnergy Minimization Methods for Markov Random Fields withSmoothness-Based Priors [Project]

十九、运动检测Motiondetection:

·         MovingObject Extraction, Using Models or Analysis ofRegions [Project]

·       Background Subtraction:Experiments and Improvements for ViBe [Project]

·       A Self-OrganizingApproach to Background Subtraction for Visual SurveillanceApplications [Project]

·       changedetection.net: Anew change detection benchmark dataset[Project]

·       ViBe - a powerfultechnique for background detection and subtraction in videosequences[Project]

·       Background SubtractionProgram[Project]

·       Motion DetectionAlgorithms[Project]

·       Stuttgart ArtificialBackground Subtraction Dataset[Project]

·       Object Detection, MotionEstimation, and Tracking[Project]

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