Refined particle swarm intelligence method for abrupt motion tracking-Reference-Cited by-同舟云学术

Refined particle swarm intelligence method for abrupt motion tracking

Published:2014-11 Issue: Volume:283 Page:267-287
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Lim Mei Kuan,Chan Chee Seng,Monekosso Dorothy,Remagnino Paolo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

1. A. Adam, E. Rivlin, I. Shimshoni, Robust fragments-based tracking using the integral histogram, in: CVPR, 2006, pp. 798–805.

2. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking;Arulampalam;IEEE Trans. Signal Process.,2002

3. Fuzzy qualitative human motion analysis;Chan;IEEE Trans. Fuzzy Syst.,2009

4. C.S. Chan, H. Liu, B. David, N. Kubota, A fuzzy qualitative approach to human motion recognition, in: FUZZ-IEEE, 2008, pp. 1242–1249.

5. The particle swarm – explosion, stability, and convergence in a multidimensional complex space;Clerc;IEEE Trans. Evolut. Comput.,2002

Cited by 17 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. Vision Transformers for Road Accident Detection from Dashboard Cameras;2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS);2022-11-29

2. Realtime Accident Detection and Alarm Generation System Over IoT;Studies in Big Data;2021-07-30

3. A new visual tracking approach based on salp swarm algorithm for abrupt motion tracking;KSII Transactions on Internet and Information Systems;2020-03-31

4. Motion segmentation-based surveillance video compression using adaptive particle swarm optimization;Neural Computing and Applications;2019-12-05

5. Mutation based self regulating and self perception particle swarm optimization for efficient object tracking in a video;Measurement;2019-10