Correlation‐guided multi‐object tracking with correlation feature transfer

Correlation‐guided multi‐object tracking with correlation feature transfer

Here, the authors propose a correlation‐guided Monte Carlo Markov chain (MCMC) solver to promote the efficiency for tracking multiple objects under recursive Bayesian filtering framework. Instead of randomly proposing the target location according to certain distribution, the authors’ method guides...

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Bibliographic Details
Main Authors: Jiatong Li, Yanjie Zhao, Zhiguo Jiang
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:IET Computer Vision
Subjects:
correlation-guided method
variable multiple objects
correlation feature transfer strategy
tracking precision
correlation-guided multiobject tracking
recursive Bayesian filtering framework
Online Access:https://doi.org/10.1049/iet-cvi.2018.5011

Internet

https://doi.org/10.1049/iet-cvi.2018.5011

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