A systematic survey on recent deep learning-based approaches to multi-object tracking

H Agrawal, A Halder, P Chattopadhyay - Multimedia Tools and …, 2024 - Springer
This survey covers an in-depth review of the state-of-the-art research on Multi-Object
Tracking (MOT) from research articles published in 2019 or later in top-tier journals and …

Multi-object tracking algorithm based on interactive attention network and adaptive trajectory reconnection

S Ma, S Duan, Z Hou, W Yu, L Pu, X Zhao - Expert Systems with …, 2024 - Elsevier
Multi-object tracking (MOT) detects multiple targets in an image and assigns a unique
identifier to each target. However, challenges such as rapid motion, occlusion, and camera …

PSMOT: Online Occlusion-Aware Multi-Object Tracking Exploiting Position Sensitivity

R Zhao, X Zhang, J Zhang - Sensors, 2024 - mdpi.com
Models based on joint detection and re-identification (ReID), which significantly increase the
efficiency of online multi-object tracking (MOT) systems, are an evolution from separate …

DETrack: Multi-object tracking algorithm based on feature decomposition and feature enhancement

F Wen, H Huang, X YIN, J MA, X HU - IEICE Transactions on …, 2024 - jstage.jst.go.jp
Multi-object tracking (MOT) algorithms are typically classified as one-shot or two-step
algorithms. The one-shot MOT algorithm is widely studied and applied due to its fast …

Staged multi-target tracking and matching algorithm combined with depth estimation information

Y Jia, C Zhou - … Conference on Image, Signal Processing, and …, 2024 - spiedigitallibrary.org
As the field of artificial intelligence progresses, multi-target tracking, one of the advanced
visual tasks of computer vision, has developed rapidly. At present, as multi-target tracking …