Latent Data Association: Bayesian Model Selection for Multi-target Tracking-Reference-Cited by-同舟云学术

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Latent Data Association: Bayesian Model Selection for Multi-target Tracking

Published:2013-12 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Computer Vision
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Author:

Segal Aleksandr V.,Reid Ian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6750807/6751100/06751472.pdf?arnumber=6751472

Cited by 25 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. Multi-view Tracking Using Weakly Supervised Human Motion Prediction;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

2. Learning of Global Objective for Network Flow in Multi-Object Tracking;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

3. Improving visual multi‐object tracking algorithm via integrating GM‐PHD and correlation filter;IET Image Processing;2022-01-17

4. Assignment-Space-based Multi-Object Tracking and Segmentation;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

5. Multiple object tracking: A literature review;Artificial Intelligence;2021-04

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