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 …

In this study, a particle filtering approach is used to get an optimized layout of a wind farm
that has the minimum wake effects and maximum power generation. There are two main …

Gait paths are spatial trajectories of selected body points during person's walk. We have
proposed and evaluated features extracted from gait paths for the task of person …

Abstract Particle Filters (PFs) have been successfully used in three‐dimensional (3D) model‐
based pose estimation. Typically, these filters depend on the computation of importance …

This paper introduces an expanded version of the Invasive Weed Optimization algorithm
(exIWO) distinguished by the hybrid strategy of the search space exploration proposed by …

We propose the method of human identification based on the reduced kinematic data of the
gait. In the first stage the pose descriptions of the given skeleton model are reduced by the …

This title concerns the use of a particle filter framework to track objects defined in high-
dimensional state-spaces using high-dimensional observation spaces. Current tracking …

The authors present results of the research aiming at human identification based on gait
motion capture data. Tensor objects were chosen as the appropriate representation of data …

Particle filter (PF) is a method dedicated to posterior density estimations using weighted
samples whose elements are called particles. In particular, this approach can be applied to …

摘要提出一种基于退火粒子群优化(Simulated annealing particle swarm optimism, SAPSO)
的单目视频人体姿态分析方法. 该方法具有以下特点: 首先, 利用运动捕获数据采用主成分分析 …