Moving objects tracking based on improved particle filter algorithm by elimination of unimportant particles-Reference-Cited by-同舟云学术

Moving objects tracking based on improved particle filter algorithm by elimination of unimportant particles

Published:2017-06 Issue: Volume:138 Page:455-469
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Daneshyar Seyed Abbas,Nahvi Manoochehr

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference46 articles.

1. Object tracking: a survey;Yilmaz;ACM Comput. Surv.,2006

2. Kernel-based object tracking;Comaniciu;IEEE Trans. Pattern Anal. Mach. Intell.,2003

3. Object tracking with sparse representation and annealed particle filter;Wang;Int. J. Signal Image Video Process.,2014

4. An approach based on mean shift and background difference for moving object tracking;Yang;Conference on Wireless Communications Networking and Mobile Computing,2010

5. Multi-cue-based CamShift guided particle filter tracking;Yin;Expert Syst. Appl.,2011

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Real-Time Object Tracking Through Adaptive Feature Fusion and Resampling in Particle Filters;Communications in Computer and Information Science;2024

2. An adaptive biogeography-based optimization with integrated covariance matrix learning for robust visual object tracking;Expert Systems with Applications;2023-12

3. Biogeography based optimization method for robust visual object tracking;Applied Soft Computing;2022-06

4. Multispectral particle filter tracking using adaptive decision-based fusion of visible and thermal sequences;Multimedia Tools and Applications;2020-03-04

5. Intelligent visual object tracking with particle filter based on Modified Grey Wolf Optimizer;Optik;2019-09