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Publication Date Publication Date
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by Vidal, R and Yi Ma and Sastry, S
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2005, Volume 27, Issue 12, pp. 1945 - 1959
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 12/2016, Volume 26, Issue 12, pp. 2240 - 2249
Journal Article
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), ISSN 0271-4302, 05/2013, pp. 2139 - 2142
Rain removal technique has been intensively studied over these years, the photometric, chromatic, and probabilistic properties of the rain have been exploited... 
Computer vision | Rain | Heuristic algorithms | Motion segmentation | Dynamics | Bismuth | Prediction algorithms
Conference Proceeding
Information Technology Journal, ISSN 1812-5638, 2011, Volume 10, Issue 10, pp. 1942 - 1949
Because of its requirement of precisely extracting moving objects, motion segmentation especially for dynamic scenes is more difficult than motion tracking.... 
Motion segmentation of GMMLS | Level set method | Dynamic scenes | Gaussian mixture model | Image segmentation | Dynamic tests | Segmentation | Dynamics | Images | Gaussian | Mathematical models | Boundaries
Journal Article
Sensors and Transducers, ISSN 2306-8515, 2013, Volume 157, Issue 10, pp. 280 - 288
  With the rapid development of computer technology, motion analysis of video has become a hot research topic in the field of computer vision based on. As the... 
Diving | Image processing | Data structure | Algorithm | Topography | Computers | Algorithms | Technological change | Transducers | Dynamic tests | Segmentation | Dynamics | Video | Monitors | Moving object recognition
Journal Article
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 368 - 375
We propose a joint foreground-background mixture model (FBM) that simultaneously performs background estimation and motion segmentation in complex dynamic... 
Computer vision | Adaptation models | Background estimation | Motion segmentation | Dynamics | Estimation | Dynamic texture | Joints | Niobium | Algorithms | Segmentation | Surface layer | Estimating | Segments | Pattern recognition | Texture
Conference Proceeding
IEEE Robotics and Automation Letters, ISSN 2377-3766, 01/2016, Volume 1, Issue 1, pp. 324 - 331
This letter aims to build the static-map of a dynamic scene using a mobile robot equipped with 3-D sensors. The sought static-map consists of only the static... 
Computer vision | Three-dimensional displays | SLAM | Motion segmentation | Dynamics | Buildings | Motion and Path Planning | Mapping | Trajectory
Journal Article
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858, 12/2017, Volume 2017-, pp. 606 - 613
Conference Proceeding
2016 IEEE International Conference on Automation Science and Engineering (CASE), ISSN 2161-8070, 08/2016, Volume 2016-, pp. 497 - 502
A mount of recent researches on scene parsing and semantic labeling, while few focus on obtaining joint semantic motion labeling. In this paper, we propose an... 
Image segmentation | Computer vision | Motion segmentation | Semantics | Dynamics | Feature extraction | Labeling
Conference Proceeding
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 2766 - 2773
Most state-of-the-art dynamic scene deblurring methods based on accurate motion segmentation assume that motion blur is small or that the specific type of... 
Image segmentation | Motion segmentation | Image edge detection | Dynamics | Cameras | Vectors | Kernel | Artifacts | Computer vision | State of the art | Segmentation | Images | Estimating | Handles | Pattern recognition
Conference Proceeding
2016 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 09/2016, Volume 2016-, pp. 3952 - 3956
A number of applications in video analysis rely on a per-frame motion segmentation of the scene as key preprocessing step. Moreover, different settings in... 
Image segmentation | Image color analysis | conditional random fields | Motion segmentation | Computational modeling | Dynamics | motion models | Video segmentation | Cameras | Proposals | hierarchical motion decomposition | Conditional random fields | Motion models | Hierarchical motion decomposition
Conference Proceeding
Image and Vision Computing, ISSN 0262-8856, 09/2013, Volume 31, Issue 9, pp. 593 - 602
Motion segmentation refers to the problem of separating the objects in a video sequence according to their motion. It is a fundamental problem of computer... 
Local subspaces | Ranking | Motion segmentation | Overlapping windows | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, THEORY & METHODS | OPTICS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Segmentation | Dynamics | Focusing | Trajectories | Shot | Dynamical systems | Temporal logic
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 3160 - 3167
Most conventional single image deblurring methods assume that the underlying scene is static and the blur is caused by only camera shake. In this paper, in... 
Motion segmentation | Dynamics | Cameras | Data models | Vectors | Image restoration | Kernel | Computer vision | Energy use | Conferences | Segmentation | Images | Estimates | Regularization
Conference Proceeding
IEEE Access, ISSN 2169-3536, 2018, Volume 6, pp. 55963 - 55975
Motion segmentation plays a central role in a variety of computer vision and pattern recognition applications. In moving camera videos, the dynamic background... 
Computer vision | Three-dimensional displays | Dependent motion segmentation | Motion segmentation | Dynamics | Two dimensional displays | Cameras | moving camera videos | Videos | computer vision | MIXTURES | FACTORIZATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | OBJECT SEGMENTATION | MODEL | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2013 IEEE International Conference on Image Processing, ISSN 1522-4880, 09/2013, pp. 4244 - 4248
In this paper, we develop a method for motion segmentation using blur kernels. A blur kernel represents the apparent motion undergone by a scene point in the... 
Motion segmentation | motion blur | point spread function | dynamic scene | Kernels | Transformations (mathematics) | Segmentation | Images | Segments | Spreads | Translations
Conference Proceeding
International Journal of Computer Vision, ISSN 0920-5691, 07/2010, Volume 88, Issue 3, pp. 425 - 446
Journal Article
Optik - International Journal for Light and Electron Optics, ISSN 0030-4026, 02/2014, Volume 125, Issue 3, pp. 924 - 929
Flow segmentation based on similar motion patterns in crowded scenes remains an open problem in computer vision due to inherent complexity and vast diversity... 
Flow segmentation | Streakline | Optical flow | High accurate variational model | OPTICS | OPTICAL-FLOW | Machine vision | Fluid dynamics | Analysis | Methods | Accuracy | Computational fluid dynamics | Segmentation | Streak | Similarity | Computation | Mathematical models | Deviation
Journal Article
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