Multi-Pedestrian Tracking in Crowded Scenes by Modeling Movement Behavior and Optimizing Kalman Filter

Multi-Pedestrian Tracking in Crowded Scenes by Modeling Movement Behavior and Optimizing Kalman Filter

Most multi-object tracking methods have achieved good results in tracking multiple pedestrians with Kalman filter, but their tracking performance in crowded scenes is still poor due to pedestrian avoidance and frequent occlusion. In crowded scenes, the pedestrian trajectory prediction with Kalman fi...

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Bibliographic Details
Main Authors: Jianhong Yan, Shuailing Du, Yanan Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Kalman filter
multi-object tracking
movement behavior
multi-pedestrian tracking
AFM
Online Access:https://ieeexplore.ieee.org/document/9941077/

Internet

https://ieeexplore.ieee.org/document/9941077/

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