Next Article in Journal
Distinguishing Lithofacies of Flysch Formations Using Deep Learning Models: Integrating Remote Sensing Data with Morphological Indexes
Previous Article in Journal
Transformer Architecture for Micromotion Target Detection Based on Multi-Scale Subaperture Coherent Integration
Previous Article in Special Issue
Infrared Dim Small Target Detection Algorithm with Large-Size Receptive Fields
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 17
Issue 3
10.3390/rs17030418
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

On-Satellite Implementation of Real-Time Multi-Object Moving Vehicle Tracking with Complex Moving Backgrounds

by
Jingyi Yu
1,2,
Siyuan Wei
2,3,
Yuxiao Wen
2,3,
Danshu Zhou
2,3,
Runjiang Dou
2,3,*,
Xiuyu Wang
1,
Jiangtao Xu
1,
Jian Liu
2,3,
Nanjian Wu
2,3 and
Liyuan Liu
2,4
1
Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin 300072, China
2
State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
3
College of Materials Science and Opto-Electronics Technology, University of Chinese Academy of Sciences, Beijing 100049, China
4
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(3), 418; https://doi.org/10.3390/rs17030418
Submission received: 12 December 2024 / Revised: 15 January 2025 / Accepted: 24 January 2025 / Published: 26 January 2025
(This article belongs to the Special Issue Remote Sensing of Target Object Detection and Identification (Third Edition))
Versions Notes

Abstract

On-satellite information processing enables all-weather target tracking. The background of videos from satellite sensors exhibits an affine transformation due to their motion relative to the Earth. In complex moving backgrounds, moving vehicles have a small number of pixels and weak texture features. At the same time, the resources and performance of on-satellite equipment are limited. To address these issues, we propose a multi-object tracking (MOT) algorithm with a detection–association framework for moving vehicles in complex moving backgrounds and implement the algorithm on a satellite to achieve real-time MOT. We use feature matching to effectively eliminate the effects of background motion and use the neighborhood pixel difference method to extract moving vehicle targets in the detection stage. The accurate extraction of motion targets ensures the effectiveness of target association to achieve MOT of moving vehicles in complex moving backgrounds. Additionally, we use a Field-Programmable Gate Array (FPGA) to implement the algorithm completely on a satellite. We propose a pixel-level stream processing mode and a cache access processing mode, given the characteristics of on-satellite equipment and sensors. According to the experimental results, the prototype on-satellite implementation method proposed in this paper can achieve real-time processing at 1024 × 1024 px@47 fps.
Keywords: multi-object tracking (MOT); detection–association framework; moving vehicle targets; on-satellite implementation; FPGA multi-object tracking (MOT); detection–association framework; moving vehicle targets; on-satellite implementation; FPGA

Share and Cite

MDPI and ACS Style

Yu, J.; Wei, S.; Wen, Y.; Zhou, D.; Dou, R.; Wang, X.; Xu, J.; Liu, J.; Wu, N.; Liu, L. On-Satellite Implementation of Real-Time Multi-Object Moving Vehicle Tracking with Complex Moving Backgrounds. Remote Sens. 2025, 17, 418. https://doi.org/10.3390/rs17030418

AMA Style

Yu J, Wei S, Wen Y, Zhou D, Dou R, Wang X, Xu J, Liu J, Wu N, Liu L. On-Satellite Implementation of Real-Time Multi-Object Moving Vehicle Tracking with Complex Moving Backgrounds. Remote Sensing. 2025; 17(3):418. https://doi.org/10.3390/rs17030418

Chicago/Turabian Style

Yu, Jingyi, Siyuan Wei, Yuxiao Wen, Danshu Zhou, Runjiang Dou, Xiuyu Wang, Jiangtao Xu, Jian Liu, Nanjian Wu, and Liyuan Liu. 2025. "On-Satellite Implementation of Real-Time Multi-Object Moving Vehicle Tracking with Complex Moving Backgrounds" Remote Sensing 17, no. 3: 418. https://doi.org/10.3390/rs17030418

APA Style

Yu, J., Wei, S., Wen, Y., Zhou, D., Dou, R., Wang, X., Xu, J., Liu, J., Wu, N., & Liu, L. (2025). On-Satellite Implementation of Real-Time Multi-Object Moving Vehicle Tracking with Complex Moving Backgrounds. Remote Sensing, 17(3), 418. https://doi.org/10.3390/rs17030418

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop