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List of motion and time sequence analysis related concepts
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This is a list of motion and time sequence analysis related concepts that shows an organisation of motion and time sequence analysis methods central to computer vision and image processing. This was originally proposed in the CVonline resource. Motion and time sequence analysis #Active vision ##Kinetic depth ##Feature stabilization ##Surface reconstruction ##Time-to-contact ##Visual servoing #Appearance change analysis #Change and moving object detection ##Statistical background modelling ##Change detection in compressed image/video data ##Change detection in non-standard images: Panoramic, Omnidirectional ##Detection with a changing background ##Foreground modelling ##Image differencing ##Moving camera change detection ##Shadow removal, Moving shadow detection #Depth, range image sequence analysis #Image sequence fusion ##Image mosaics ##Image stabilization ##Super-resolution #Motion field ##Depth estimation ##Edge/Discontinuity detection ##Motion field extraction ##Hierarchical motion field estimation ##Region segmentation/decomposition ###Motion layer/Multiple motion segmentation ##Particle image velocimetry #Motion property estimation ##General motion estimation ##Observer motion, Egomotion estimation ##Periodicity estimation ##Planar motion estimation ##Pure rotation estimation ##Pure translation estimation, Linear motion estimation #Non-rigid motion analysis ##Human pose and motion estimation #Optical flow ##Affine flow ##The aperture problem ##Methods for determining optical flow ###Area based methods ###Binocular methods ###Contour based methods ###Correlation based optical flow estimation ###Gradient based optical flow estimation ###Feature based optical flow estimation ##Optical flow boundary, discontinuity estimation ##Color Optical flow ##Optical flow field calculation ##Optical flow histogram ##Information extraction ###Egomotion estimation ###Epipole location ###Focus of expansion ###Obstacle detection ##Multigrid methods ##Normal flow ##Optical flow constraint equation ##Optical flow smoothness constraint ##Depth, range image sequence analysis ##Range flow ##Scene flow/Surface motion ##Special case motions ##Structure from optical flow #Sensor, Camera Motion estimation #Spatio-Temporal reasoning ##[Epipolar geometry#] analysis ##Spatio-Temporal corner detection/interest point detection ##Spatio-Temporal filters ##Representations ###Small motion models ###FAST: spatio-temporal interest point detector ##Temporal shape matching ###Spatio-Temporal Relationship Match (SRM) ###Temporal geometric shape model matching ###Temporal property model matching ##Temporal spatio-velocity transform #Structure from motion/Structure and motion ##Articulated object segmentation ##Classical structure from motion ## ##Multi-frame structure estimation ###Critical motions ###Initialization ###Metrical (or Euclidean) reconstruction ##Nonlinear recursive methods ##Rigid body from motion ##Rigidity constraint ##Structure consistency constraint ##Structure factorization ###Tomasi-Kanade factorization ###Factorization with uncertainty ##Surface reconstruction ##Temporal factorization #Temporal event analysis ##Activity analysis ###Action temporal segmentation ###Instantaneous activity recognition ###Long term activity ####Hidden Markov model matching ####Hidden semi-Markov model matching ####Rule-based/Syntactic model matching ####Trajectory model matching ##Novelty/Unusual event detection ##Self-similarity matrix #Tracking ##Articulated object tracking ##Binocular tracking ##Discontinuous events tracking ##Feature tracking approaches ###Contour tracking, Active contour tracking ###Appearance-based tracking ###Edge tracking ###Fiduciary marker tracking ###Model-based tracking ###Optical flow-based target tracking ###Pose-based tracking ###Feature-based tracking ###Template-based tracking ###Temporal stereo tracking ###Texture-based tracking ##Moving camera based tracking ##Multiple target tracking ###Feature-based tracking ###Optical flow analysis ###Template-based tracking ##Target tracking approaches ###Detection by background differencing ###Detection regions ###Persistence through occlusion ####Hidden surface determination ###Target correspondence ##Tracking information fusion ###Condensation/Particle filter tracking ###Tracking using Bayesian belief propagation ###Tracking using hidden Markov models ###Tracking using Kalman filters ##Vergence maintenance 
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