Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification-Reference-Cited by-同舟云学术

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Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Ahrnbom Martin¹,Nilsson Mikael¹,Ardö Håkan²

Affiliation:

1. Centre for Mathematical Sciences, Lund University, Lund, Sweden, --- Select a Country ---

2. Axis Communications AB, Lund, Sweden, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 8 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. A Multiple Object Tracker with Spatiotemporal Memory Network;International Journal of Aerospace Engineering;2023-10-26

2. Multi-Object Tracking and Segmentation with a Space-Time Memory Network;2023 20th Conference on Robots and Vision (CRV);2023-06

3. Vehicle detection and tracking method based on multi-sensor trajectory information;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2022-12-12

4. Instance segmentation and tracking of animals in wildlife videos: SWIFT - segmentation with filtering of tracklets;Ecological Informatics;2022-11

5. FAFMOTS: A Fast and Anchor Free Method for Online Joint Multi-Object Tracking and Segmentation;2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct);2022-10

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