Automatic human motion tracking in video sequences is one of the most frequently tackled
tasks in computer vision community. The goal of human motion capture is to estimate the …

Particle swarm optimization (PSO) has long been attracting wide attention from researchers
in the community. How to deal with the weak exploration ability and premature convergence …

This paper describes a system for the automatic detection and tracking of a ball trajectory
during a free throw. The tracking method is based on a particle swarm optimization (PSO) …

The high-dimensional search space involved in markerless full-body articulated human
motion tracking from multiple-views video sequences has led to a number of solutions based …

This paper presents a method of monocular human motion tracking for estimation of hurdle
clearance kinematic parameters. The analysis involved 10 image sequences of five hurdlers …

Many optimization problems can be found in scientific and engineering fields. It is a
challenge for researchers to design efficient algorithms to solve these optimization …

In recent years, the firefly algorithm (FA) has been applied with success to many classes of
optimisation problems. However, as is the case for all metaheuristic optimisation algorithms …

In this study, a framework for view‐invariant gait recognition on the basis of markerless
motion tracking and dynamic time warping (DTW) transform is presented. The system …

A novel multi-camera active-vision reconfiguration method is proposed for the markerless
shape recovery of unknown deforming objects. The proposed method implements a model …

This paper describes how to achieve real‐time tracking of 3D human motion using multiview
images and graphics processing unit (GPU)‐accelerated particle swarm optimization. The …