CCDMOT: An Optimized Multi-Object Tracking Method for Unmanned Vehicles Pedestrian Tracking

Multi-object tracking (MOT) is pivotal for under-standing environments in which unmanned vehicles function. The Joint Detection and Embedding (JDE) paradigm, merging target motion and appearance for data association, stands as a cornerstone in MOT. Despite its recognition, conventional methods exhib...

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Bibliographic Details

Published in:	Proceedings of ... IEEE International Conference on Unmanned Systems (Online) pp. 749 - 754
Main Authors:	Liang, Jingfeng, Xiong, Aimin, Wu, Yuqi, Huang, Weizhao, Zhang, Hongbin
Format:	Conference Proceeding
Language:	English
Published:	IEEE 13.10.2023
Subjects:	Feature extraction Heuristic algorithms joint detection and embedding Measurement Merging multiple object tracking Pedestrians Re-ID Real-time systems Target tracking unmanned vehicles
ISSN:	2771-7372
Online Access:	Get full text
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