We review methods for kinematic tracking of the human body in video. The review is part of a
projected book that is intended to cross-fertilize ideas about motion representation between …

Sparse representation-based visual tracking approaches have attracted increasing interests
in the community in recent years. The main idea is to linearly represent each target …

Handling appearance variations is a very challenging problem for visual tracking. Existing
methods usually solve this problem by relying on an effective appearance model with two …

Three-dimensional detection and shape recovery of a nonrigid surface from video
sequences require deformation models to effectively take advantage of potentially noisy …

In this paper, we propose a novel visual tracking framework, based on a decision-theoretic
online learning algorithm namely NormalHedge. To make NormalHedge more robust …

Cuckoo search (CS) is a new meta-heuristic optimization algorithm that is based on the
obligate brood parasitic behavior of some cuckoo species in combination with the Lévy flight …

This paper presents a new object tracking model that systematically combines region and
boundary features. Besides traditional region features (intensity/color and texture), we …

Many potential applications of computer vision require a 3D tracking system which can cope
with very unpredictable, rapid motions of the camera while operating at frame rate. This …

In the last years several satellite projects started providing on-orbit servicing capabilities.
This means that an on-orbit servicing spacecraft approaches to a client satellite, captures it …

We propose a new texture segmentation algorithm to improve the segmentation of boundary
areas in the image. In some applications such as medical image segmentation, an exact …