Multiple Moving Objects Using Deep Learning for Trajectory Extraction and Clustering-Reference-Cited by-同舟云学术

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Multiple Moving Objects Using Deep Learning for Trajectory Extraction and Clustering

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 Intelligent Methods, Systems, and Applications (IMSA)
language:
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Author:

Elmasry Yomna¹,Elzeky Magda²,Atia Ayman³

Affiliation:

1. October University for Modern Sciences and Arts (MSA),Faculty of Computer Science,Giza,Egypt

2. Misr University for Science and Technology,Faculty of Information Technology,Giza,Egypt

3. Helwan University Faculty of Computer Science October University for Modern Sciences and Arts (MSA),HCI-LAB, Faculty of Computers and Artificial Intelligence,Giza,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217215/10217348/10217507.pdf?arnumber=10217507

Reference22 articles.

1. Ground Truth Data, Content, Metrics, and Analysis

2. Video trajectory analysis using unsupervised clustering and multi-criteria ranking

3. A review of moving object trajectory clustering algorithms

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