Multiple Object Tracking for Dense Pedestrians by Markov Random Field Model with Improvement on Potentials

Multiple Object Tracking for Dense Pedestrians by Markov Random Field Model with Improvement on Potentials

Pedestrian tracking in dense crowds is a challenging task, even when using a multi-camera system. In this paper, a new Markov random field (MRF) model is proposed for the association of tracklet couplings. Equipped with a new potential function improvement method, this model can associate the small...

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Bibliographic Details
Main Authors: Peixin Liu, Xiaofeng Li, Yang Wang, Zhizhong Fu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
multi-camera multi-object tracking
dense pedestrian crowds
cross-view data fusion
image mutual information
markov random field model
Online Access:https://www.mdpi.com/1424-8220/20/3/628

Internet

https://www.mdpi.com/1424-8220/20/3/628

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