The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Visual analysis of human motion is currently one of the most active research topics in
computer vision. This strong interest is driven by a wide spectrum of promising applications …

We present a survey on maritime object detection and tracking approaches, which are
essential for the development of a navigational system for autonomous ships. The electro …

This paper presents a new variational framework for detecting and tracking multiple moving
objects in image sequences. Motion detection is performed using a statistical framework for …

This book provides an introduction to the use of geometric partial differential equations in
image processing and computer vision. This research area brings a number of new …

Introduction Imageprocessing, computervisionandcomputergraphicsareno…-search areas.
Pattern recognition and arti? cial intelligence were the origins of the explorationofthespace …

We propose a tracking method which tracks the complete object regions, adapts to changing
visual features, and handles occlusions. Tracking is achieved by evolving the contour from …

Page 1 HANDBOOK of NUMERICAL ANALYSIS PG CIARLET and JL LIONS • Editors Volume
VIII Solution of Equations in R" (Part 4) Techniques of Scientific Computing (Part 4) Numerical …

In this paper, we introduce variational networks (VNs) for image reconstruction. VNs are fully
learned models based on the framework of incremental proximal gradient methods. They …

Image registration is an often encountered problem in various fields including medical
imaging, computer vision and image processing. Numerous algorithms for registering image …