Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental Delaunay triangulation
Graphics gems IV
Performance of optical flow techniques
International Journal of Computer Vision
Recursive non-linear estimation of discontinuous flow fields
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
The computation of optical flow
ACM Computing Surveys (CSUR)
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Exploiting Discontinuities in Optical Flow
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Computing Optical Flow with Physical Models of Brightness Variation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
ACM SIGGRAPH 2005 Papers
Consistent Segmentation for Optical Flow Estimation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Particle Video: Long-Range Motion Estimation using Point Trajectories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Long-range video motion estimation using point trajectories
Long-range video motion estimation using point trajectories
Bilateral filtering-based optical flow estimation with occlusion detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Robust Estimation of Camera Motion Using Optical Flow Models
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Temporally coherent video matting
Graphical Models
Dense point trajectories by GPU-accelerated large displacement optical flow
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Object segmentation by long term analysis of point trajectories
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Two algorithms for motion estimation from alternate exposure images
Proceedings of the 2010 international conference on Video Processing and Computational Video
Video retrieval based on user-specified deformation
ACM SIGGRAPH 2012 Posters
A loop-consistency measure for dense correspondences in multi-view video
Image and Vision Computing
Depth estimation for semi-automatic 2D to 3D conversion
Proceedings of the 20th ACM international conference on Multimedia
Multi-scale clustering of frame-to-frame correspondences for motion segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Consistent Binocular Depth and Scene Flow with Chained Temporal Profiles
International Journal of Computer Vision
Moving foreground object detection via robust SIFT trajectories
Journal of Visual Communication and Image Representation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Weighted interaction force estimation for abnormality detection in crowd scenes
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Video inlays: a system for user-friendly matchmove
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
On improving the robustness of variational optical flow against illumination changes
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Detecting bipedal motion from correlated probabilistic trajectories
Pattern Recognition Letters
International Journal of Computer Vision
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This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a long-duration trajectory and other properties. To optimize particle trajectories we measure appearance consistency along the particle trajectories and distortion between the particles. The resulting motion representation is useful for a variety of applications and cannot be directly obtained using existing methods such as optical flow or feature tracking. We demonstrate the algorithm on challenging real-world videos that include complex scene geometry, multiple types of occlusion, regions with low texture, and non-rigid deformations.