Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking-Reference-Cited by-同舟云学术

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Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking

Published:2014-11 Issue:11 Volume:47 Page:3552-3567
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhou Huiyu,Fei Minrui,Sadka Abdul,Zhang Yi,Li Xuelong

Funder

H. Zhou is supported in part by UK EPSRC

National Natural Science Foundation of China

Shaanxi Key Innovation Team of Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference67 articles.

1. Adaptive object tracking by learning hybrid template online;Liu;IEEE Trans. Circuits Syst. Video Technol.,2011

2. Integration of fuzzy spatial information in tracking based on particle filtering;Widynski;IEEE Trans. Syst. Man Cybern. Part B,2011

3. Robust multiperson detection and tracking for mobile service and social robots;Li;IEEE Trans. Syst. Man Cybern. Part B,2012

4. Tracking with a hierarchical partitioned particle filter and movement modelling;Husz;IEEE Trans. Syst. Man Cybern. Part B,2011

5. Block covariance based l1 tracker with a subtle template dictionary;Zhang;Pattern Recognit.,2013

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2. MC-LSTM: Real-Time 3D Human Action Detection System for Intelligent Healthcare Applications;IEEE Transactions on Biomedical Circuits and Systems;2021-04

3. Real-time Motion Tracking Enhancement via Data-Fusion based Particle Filter;TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES;2021

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