Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

Abstract Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised
photometric segmentation of video sequences. MHVS segments arbitrarily long video …

The ability to correctly track objects in time-lapse sequences is important in many
applications of microscopy. Individual object motions typically display a level of dynamic …

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 …

Most tracking algorithms implicitly apply a coarse segmentation of each target object using a
simple mask such as a rectangle or an ellipse. Although convenient, such coarse …

Abstract Three-dimensional (3D) computer-assisted corrective osteotomy has become the
state-of-the-art for surgical treatment of complex bone deformities. Despite available …

We present a video object segmentation approach that extends the particle filter to a region-
based image representation. Image partition is considered part of the particle filter …

This work presents a new method for tracking and segmenting along time-interacting objects
within an image sequence. One major contribution of the paper is the formalization of the …

In this paper, we demonstrate how the differential Earth Mover's Distance (EMD) may be
used for visual tracking in synergy with Gaussian mixtures models (GMM). According to our …

A method for object tracking combining the accuracy of mean shift with the robustness to
occlusion of Kalman filtering is proposed. At first, an estimation of the object's position is …