Using the variational approaches to estimate optical flow between two frames, the flow
discontinuities between different motion fields are usually not distinguished even when an …

In this paper, we present a new framework of video object segmentation, in which we
formulate the task of extracting prominent objects from a scene as the problem of …

Recently several methods for background subtraction from moving camera were proposed.
They use bottom up cues to segment video frames into foreground and background regions …

This paper proposes a novel deep learning-based video object matting method that can
achieve temporally coherent matting results. Its key component is an attention-based …

A mobile robot needs to perceive the motions of external objects to perform tasks
successfully in a dynamic environment. We propose a set of algorithms for multiple motion …

The boundaries of objects in an image are often considered a nuisance to be “handled” due
to the occlusion they exhibit. Since most, if not all, computer vision techniques aggregate …

In this paper, we address the difficult task of detecting and segmenting foreground moving
objects in complex scenes. The sequences we consider exhibit highly dynamic …

Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in
a number of applications such as surveillance. Most existing methods only give good results …

Salt body extraction plays an important role in the analysis of salt structures and the
exploration of oil and gas. Seismic attributes and edge detection algorithms, which require …

We present a new approach to iteratively estimate both high-quality depth map and alpha
matte from a single image or a video sequence. Scene depth, which is invariant to …