Deep convolutional neural network with Kalman filter based objected tracking and detection in underwater communications

K Sreekala, NN Raj, S Gupta, G Anitha, AK Nanda… - Wireless …, 2023 - Springer
Underwater autonomous operation is becoming increasingly crucial as a means to escape
the hazardous high-pressure deep-sea environment. As a result, it is essential for there to be …

Study on underwater target tracking technology based on an LSTM–Kalman filtering method

M Wang, C Xu, C Zhou, Y Gong, B Qiu - Applied Sciences, 2022 - mdpi.com
In the marine environment, underwater targets are often affected by interference from other
targets and environmental fluctuations, so traditional target tracking methods are difficult to …

Multi-sensor multi-target bearing-only tracking with signal time delay

Z Sheng, Y Guo, A Xue, W Han - Signal, Image and Video Processing, 2023 - Springer
In this paper, we examine the multi-sensor multi-target, bearings-only tracking problem with
signal time delay. This problem is challenging due to the system incomplete observability …

Underwater target tracking in radar images using exponential competitive swarm-based deep neuro fuzzy network

D Thiruselvan, JP Ananth - International Journal on Artificial …, 2022 - World Scientific
The tracking of underwater targets represents a basic unit in underwater surveillance for
offering effective search and rescue operations. However, the tracking of the target is a …

A unified framework for joint moving object detection and tracking in the sky and underwater

X Wu, H Pan, M Xu, Z Jing, M Bao - International Conference on …, 2021 - Springer
The ability to detect and locate the moving object in a video is a fundamental procedure in
applications of computer vision. However, these tracking methods still face some …

Research on multi-target data association of the infrared fish-eye warning system

Y Zhou, D Fang, J Li, B Zhang, M Hao, J Liu - Heliyon, 2023 - cell.com
The multi-target data association method is studied in order to realize multi-target tracking in
infrared fish-eye warning system. The Neural Joint Probabilistic Data Association (NJPDA) …

Target Association and Tracking Approach Based on Historical Kinematic Characteristics and SVM Spectrum Classification for Passive Sonar

Y QIAN, Y CHEN, G LI - 电子与信息学报, 2023 - jeit.ac.cn
In order to solve the crossing target tracking problem for passive sonar, a target association
and tracking approach based on Historical kinematic characteristics and SVM (His-SVM) …

[PDF][PDF] 基于历史运动特征约束和SVM 频谱分类的被动声呐目标关联跟踪方法

钱宇宁, 陈亚伟, 李归 - 电子与信息学报, 2023 - jeit.ac.cn
针对航迹交叉条件下被动声呐目标跟踪困难的问题, 该文将现有运动特征关联方法和信号特征
辅助关联方法进行改进融合, 提出一种基于历史运动特征约束和支持向量机(His-SVM) …

Tracking Energy Control Algorithm Based on Underwater Sensor Networks Assisted by AUV

S Tian, Z Zhang - International Conference on Autonomous Unmanned …, 2021 - Springer
Energy control plays an important role for underwater sensor networks. On one hand, due to
the limitation of energy and bandwidth, quantization needs to be introduced while tracking; …

Remora Jaya Optimization-Enabled Deep Quantum Neural Network for Underwater Target Tracking Using Radar Images

D Thiruselvan, JP Ananth - Cybernetics and Systems, 2023 - Taylor & Francis
The Ocean boundaries can be protected by pursuing an underwater uncooperative target
and permits for the exploitation of ocean resources. This research design a novel technique …