Comparative analysis of image hashing algorithms for visual object tracking
Subject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. The goal of this study is to evaluate the tracking success and processing speed of existing and new hashing algorithms for object tracking and to identify the most suitable algorithm...
Saved in:
| Main Authors: | Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
National Aerospace University «Kharkiv Aviation Institute»
2025-02-01
|
| Series: | Радіоелектронні і комп'ютерні системи |
| Subjects: | |
| Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/2780 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Confidence-Guided Frame Skipping to Enhance Object Tracking Speed
by: Yun Gu Lee
Published: (2024-12-01) -
Estimating similarity and distance using FracMinHash
by: Mahmudur Rahman Hera, et al.
Published: (2025-05-01) -
A ranking hashing algorithm based on listwise supervision
by: Anbang YANG, et al.
Published: (2019-05-01) -
A preimage attack on reduced GIMLI‐HASH with unbalanced squeezing phase
by: Yongseong Lee, et al.
Published: (2023-01-01) -
Robust image hashing method from global perception features of human visual cortex
by: SUN Rui1, et al.
Published: (2011-01-01)