Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification-Reference-Cited by-同舟云学术

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Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification

Published:2022-11-30 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
language:
Short-container-title:

Author:

Feng Weitao¹,Li Baopu²,Ouyang Wanli¹

Affiliation:

1. The University of Sydney,NSW,Australia

2. Oracle Health and AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10034558/10034559/10034575.pdf?arnumber=10034575

Reference67 articles.

1. Globally-optimal greedy algorithms for tracking a variable number of objects

2. Tracking Without Bells and Whistles

3. Multi-person Tracking by Multicut and Deep Matching

4. A Predictor of Moving Objects for First-Person Vision

5. End-to-End Learning Deep CRF Models for Multi-Object Tracking Deep CRF Models

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TrafficTrack: rethinking the motion and appearance cue for multi-vehicle tracking in traffic monitoring;Multimedia Systems;2024-07-25

2. Multiple object tracking based on appearance and motion graph convolutional neural networks with an explainer;Neural Computing and Applications;2024-04-28

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