Standard approaches to motion analysis assume that the optic flow is smooth; such techniques have trouble dealing with occlusion boundaries. The most popular solution is to allow discontinuities in the flow field, imposing the smoothness constraint in a piecewise fashion. But there is a sense in which the discontinuities in flow are artifactual, resulting from the attempt to capture the motion of multiple overlapping objects in a single flow field. Instead we can decompose the image sequence into a set of overlapping layers, whereeach layer's motion is described by a smooth flow field. The discontinuities in the description are then attributed to object opacities rather than to the flow itself, mirroring the structure of the scene. We ...
A new approach for the interpretation of optical flow fields is presented. The flow field, which can...
Optic flow is an important cue for object detection. Humans are able to ...
Extracting layers from video is very important for video representation, analysis, compression, and ...
Introduction Traditionally, image motion and its approximation known as optical flow have been trea...
A simple algorithm for selecting and linking interesting flow vectors across a sequence of frames fo...
The estimation of motion in video sequences establishes temporal correspondences between pixels and ...
A fundamental problem in processing sequences of images is the computation of optic flow, an approxi...
In this paper we propose a method for the motion-congruent segmentation of image sequences based on ...
We describe a system for representing moving images with sets of overlapping layers. Each layer cont...
The estimation of optical flow plays a key-role in several computer vision problems, including motio...
Figure 1. The proposed approach detects occlusions locally on a per-occurrence basis and retains unc...
Abstract. We propose to tackle the optical flow problem by a combina-tion of two recent advances in ...
In the general structure-from-motion (SFM) problem involving several moving objects in a scene, the ...
The paper provides a robust representation of moving images based on layers. To that goal, we have d...
We present an unsupervised approach for learning a layered representation of a scene from a video fo...
A new approach for the interpretation of optical flow fields is presented. The flow field, which can...
Optic flow is an important cue for object detection. Humans are able to ...
Extracting layers from video is very important for video representation, analysis, compression, and ...
Introduction Traditionally, image motion and its approximation known as optical flow have been trea...
A simple algorithm for selecting and linking interesting flow vectors across a sequence of frames fo...
The estimation of motion in video sequences establishes temporal correspondences between pixels and ...
A fundamental problem in processing sequences of images is the computation of optic flow, an approxi...
In this paper we propose a method for the motion-congruent segmentation of image sequences based on ...
We describe a system for representing moving images with sets of overlapping layers. Each layer cont...
The estimation of optical flow plays a key-role in several computer vision problems, including motio...
Figure 1. The proposed approach detects occlusions locally on a per-occurrence basis and retains unc...
Abstract. We propose to tackle the optical flow problem by a combina-tion of two recent advances in ...
In the general structure-from-motion (SFM) problem involving several moving objects in a scene, the ...
The paper provides a robust representation of moving images based on layers. To that goal, we have d...
We present an unsupervised approach for learning a layered representation of a scene from a video fo...
A new approach for the interpretation of optical flow fields is presented. The flow field, which can...
Optic flow is an important cue for object detection. Humans are able to ...
Extracting layers from video is very important for video representation, analysis, compression, and ...