Detection and tracking of sea-surface targets in infrared and visual band videos using the bag-of-features technique with scale-invariant feature transform-Reference-Cited by-同舟云学术

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Detection and tracking of sea-surface targets in infrared and visual band videos using the bag-of-features technique with scale-invariant feature transform

Published:2011-11-18 Issue:33 Volume:50 Page:6302
ISSN:0003-6935
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Can Tolga,Karalı A. Onur,Aytaç Tayfun

Publisher

The Optical Society

Reference19 articles.

1. Novel background removal algorithm for Navy infrared search and track systems

2. An extended track-before-detect algorithm for infrared target detection

3. Classifier-based offline feature selection and evaluation for visual tracking of sea-surface and aerial targets

4. Infrared radiance of the wind-ruffled sea

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1. YOLO-ESFM:A Multi-scale YOLO Algorithm for Sea Surface Object Detection.;2024-07-22

2. Beyond Land: A Review of Benchmarking Datasets, Algorithms, and Metrics for Visual-Based Ship Tracking;Electronics;2023-06-24

3. Comparing Spectral Bands for Object Detection at Sea using Convolutional Neural Networks;Journal of Physics: Conference Series;2019-10-01

4. A pixel-based color transfer system to recolor nighttime imagery;Mobile Multimedia/Image Processing, Security, and Applications 2019;2019-05-13

5. A novel image registration approach via combining local features and geometric invariants;PLOS ONE;2018-01-02

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