Moving Objects Tracking Method Based on Discharged Optical Flow-Reference-Cited by-同舟云学术

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Moving Objects Tracking Method Based on Discharged Optical Flow

Published:2022-03-17 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
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Author:

Vozvakhov Ivan Aleksandrovich¹,Strakhov Mikhail Dmitrievich¹,Ershov Vladislav Aleksandrovich¹,Agapov Marat Yuryevich¹,Tatarinov Viktor Viktorovich²,Rozhok Anastasiia³^ORCID

Affiliation:

1. Bauman Moscow State Technical University,Moscow,Russia

2. Bauman Moscow State Technical University, FC VNII GOChS Emercom of Russia,Moscow,Russia

3. Universitá di Genova, Bauman Moscow State Technical University,Department of Mechanical, Energy, Management and Transportation Engineering,Genoa,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731097/9731358/09731444.pdf?arnumber=9731444

Reference24 articles.

1. Real-Time Tracking of Single and Multiple Objects from Depth-Colour Imagery Using 3D Signed Distance Functions

2. SimTrack: A simulation-based framework for scalable real-time object pose detection and tracking

3. Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data

4. Segmentation of Moving Objects by Long Term Video Analysis

5. Occlusion and Motion Reasoning for Long-Term Tracking

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