Object Tracking with an Evolutionary Particle Filter Based on Self-Adaptive Multi-Features Fusion
International Journal of Advanced Robotic Systems, 2013 Particle filter algorithms are widely used for object tracking in video sequences, but the standard particle filter algorithm cannot solve the validity of particles ideally.
Zhang Xiaowei, Liu Hong, Sun Xiaohong
doaj +1 more source
Tracking of ball and players in beach volleyball videos. [PDF]
PLoS ONE, 2014 This paper presents methods for the determination of players' positions and contact time points by tracking the players and the ball in beach volleyball videos.
Gabriel Gomez +3 more
doaj +1 more source
Video Object Tracking in Neural Axons with Fluorescence Microscopy Images
Journal of Applied Mathematics, 2014 Neurofilament is an important type of intercellular cargos transmitted in neural axons. Given fluorescence microscopy images, existing methods extract neurofilament movement patterns by manual tracking.
Liang Yuan, Junda Zhu
doaj +1 more source
Markerless human motion tracking using hierarchical multi-swarm cooperative particle swarm optimization. [PDF]
PLoS ONE, 2015 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 on metaheuristics, the most recent form of which is Particle Swarm ...
Sanjay Saini +3 more
doaj +1 more source
Combining Particle Filter and Population-based Metaheuristics for Visual Articulated Motion Tracking
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 Visual tracking of articulated motion is a complex task with high computational costs. Because of the fact that articulated objects are usually represented as a set of linked limbs, tracking is performed with the support of a model.
Juan Jose Pantrigo +3 more
doaj +1 more source
Visual tracking of multiple interacting objects through Rao-Blackwellized data association particle filtering [PDF]
, 2010 A multiple object visual tracking framework is presented, which is able to manage complex object interactions, missing detections and clutter. The main contribution is the ability to deal with complex situations in which the interacting objects can ...
Narciso Garcia +5 more
core +1 more source
Four-dimensional multi-particle tracking in living cells based on lifetime imaging
Nanophotonics, 2022 Research on dynamic events in living cells, such as intracellular transportation, is important for understanding cell functions. As movements occur within cells, the microenvironment of the moving vesicles or biomacromolecules may affect the behavior of ...
Chen Danni, Li Heng, Yu Bin, Qu Junle
doaj +1 more source
FluidsParticle image velocimetry and particle tracking velocimetry (PTV) have developed from two-dimensional two-component (2D2C) velocity vector measurements to 3D3C measurements.
Mao Takeyama +2 more
doaj +1 more source
Confidence-Level-Based New Adaptive Particle Filter for Nonlinear Object Tracking
International Journal of Advanced Robotic Systems, 2012 Nonlinear object tracking from noisy measurements is a basic skill and a challenging task of mobile robotics, especially under dynamic environments. The particle filter is a useful tool for nonlinear object tracking with non-Gaussian noise.
Xiaoyong Zhang +3 more
doaj +1 more source
An improved quantum particle swarm photovoltaic multi‐peak mPPT method combined with Lévy flight
Energy Science & Engineering, 2020 Inertial weight adaptive quantum particle swarm optimization (DCWQPSO) algorithm can effectively improve the problem of particle falling into local extreme value.
Lei Chen +3 more
doaj +1 more source