Human computing and machine understanding of human behavior: a survey
Proceedings of the 8th international conference on Multimodal interfaces
Video watercolorization using bidirectional texture advection
ACM SIGGRAPH 2007 papers
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2007 courses
Unwrap mosaics: a new representation for video editing
ACM SIGGRAPH 2008 papers
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2008 classes
Particle Video: Long-Range Motion Estimation Using Point Trajectories
International Journal of Computer Vision
Video object annotation, navigation, and composition
Proceedings of the 21st annual ACM symposium on User interface software and technology
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Spatio-temporal interest points for video analysis
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Analysis of Rain and Snow in Frequency Space
International Journal of Computer Vision
When Discrete Meets Differential
International Journal of Computer Vision
GradientShop: A gradient-domain optimization framework for image and video filtering
ACM Transactions on Graphics (TOG)
Falling snow motion estimation based on a semi-transparent and particle trajectory model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Video segmentation based on motion coherence of particles in a video sequence
IEEE Transactions on Image Processing
A robust method for camera motion estimation in movies based on optical flow
International Journal of Intelligent Systems Technologies and Applications
Dense point trajectories by GPU-accelerated large displacement optical flow
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Human computing and machine understanding of human behavior: a survey
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
A streakline representation of flow in crowded scenes
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Colour dynamic photometric stereo for textured surfaces
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Candid portrait selection from video
Proceedings of the 2011 SIGGRAPH Asia Conference
Visual crowd surveillance through a hydrodynamics lens
Communications of the ACM
Extracting intentionally captured regions using point trajectories
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Choreographing amateur performers using video examples
SIGGRAPH Asia 2011 Posters
Modeling and segmentation of floating foreground and background in videos
Pattern Recognition
Real time semi-dense point tracking
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Background subtraction using low rank and group sparsity constraints
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Consistent Binocular Depth and Scene Flow with Chained Temporal Profiles
International Journal of Computer Vision
Efficient pixel-grouping based on dempster's theory of evidence for image segmentation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Learning object appearance from occlusions using structure and motion recovery
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
User-assisted sparse stereo-video segmentation
Proceedings of the 10th European Conference on Visual Media Production
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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 longduration trajectory and other properties. To optimize these particles, we measure point-based matching 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.