Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
By Daniel Cremers, Stefano Soatto. 2005
270 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Horst Bischof
- Manuel Werlberger
- Daniel Cremers
- Andreas Geiger
- Thomas Pock
- Patrick Bouthemy
- Charles Kervrann
- Denis Fortun
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Jitendra Malik
- Cordelia Schmid
- Dacheng Tao
- Andrew Zisserman
- Xiaogang Wang
- Trevor Darrell
Citations in the corpus
- Layered segmentation and optical flow estimation over time (2012, background): “The motion competition framework [5, 6] uses level sets to model the scene segmentation in a variational setting, but does not address occlusion reasoning.”
- Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation (2006, background): “…al., 1995; Caselles et al., 1995; Kichenassamy et al., 1995), intensity homogeneity (Chan and Vese, 2001; Tsai et al., 2001), texture information (Paragios and Deriche, 2002; Rousson et al., 2003; Heiler and Schnörr, 2003; Brox and Weickert , 2004) and motion information (Cremers and Soatto, 2005).”
- A Survey on Deep Learning Technique for Video Segmentation (2021, background): “zation [31], and/or statistical [32] techniques that comprehensively model the characteristics of moving scenes without prior knowledge of camera motion.”
- Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling (2012, methodology): “Results are shown on several classical motion segmentation and optical flow examples.”
- Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey (2016, methodology): “4) Optical flow based motion segmentation: Optical flow methods have been used for motion segmentation as well [19], [91], [149], [201], [202].”
- Optical flow modeling and computation: A survey (2015, methodology): “Other strategies can be employed, as the one of [56] re-used in [66], for more sophisticated combinations between functions.”