Motion-Perception Multi-Object Tracking (MPMOT): Enhancing Multi-Object Tracking Performance via Motion-Aware Data Association and Trajectory Connection

Motion-Perception Multi-Object Tracking (MPMOT): Enhancing Multi-Object Tracking Performance via Motion-Aware Data Association and Trajectory Connection

Multiple Object Tracking (MOT) aims to detect and track multiple targets across consecutive video frames while preserving consistent object identities. While appearance-based approaches have achieved notable success, they often struggle in challenging conditions such as occlusions, motion blur, and...

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Bibliographic Details
Main Authors: Weijun Meng, Shuaipeng Duan, Sugang Ma, Bin Hu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Journal of Imaging
Subjects:
multiple object tracking
data association
gain Kalman filter
adaptive cost matrix
global connection model
Online Access:https://www.mdpi.com/2313-433X/11/5/144
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