Wei Sun

An Efficient Implementation of Track‐Oriented Multiple Hypothesis Tracker Using Graphical Model Approaches

2017 · Mathematical Problems in Engineering

The multiple hypothesis tracker (MHT) is currently the preferred method for addressing data association problem in multitarget tracking (MTT) application. MHT seeks the most likely global hypothesis by enumerating all possible associations over time, which …

Optimized Extreme Learning Machine (ELM) Based on Genetic Algorithm (GA) To Predict Carbon Price Under The Influence of Multiple Factors

2021 · Research Square

Abstract The promotion of carbon market can accelerate the pace of low-carbon transformation of China's economic structure and achieve more efficient carbon emission reduction. Accurate carbon price prediction is conducive to improving the risk management …

Multi point monitoring method of prestressed tendon based on distributed sensors

2021 · Journal of Physics Conference Series

Abstract This paper presents a multi-point strain monitoring method based on distributed sensors, which can monitor the multi-point stress of prestressed tendons in concrete. Firstly, the special sensor protection device is installed in the designated …

Performance Analysis of Underwater Acoustic Automatic Modulation Classification System with Machine Learning

2021 · 2021 IEEE 21st International Conference on Communication Technology (ICCT)

Underwater acoustic (UWA) channel is a triple-selective fading channel in time, space and frequency as a result of its lower sound speed and its complicated boundaries in the ocean. It is very difficult to realize …

SoK: Secure Human-centered Wireless Sensing

2022 · arXiv (Cornell University)

Human-centered wireless sensing (HCWS) aims to understand the fine-grained environment and activities of a human using the diverse wireless signals around him/her. While the sensed information about a human can be used for many good …

Hybrid Multi-Strategy Improvements for The Aquila Optimizer

2023

Although the original Aquila optimizer shows a strong optimization ability, it will fall into a local optimal solution in many cases. The design of the algorithm is flawed, the switch between exploration and exploitation strategies …

Tracking multiple moving objects based on OPTICS and object probability model

2015 · Journal of Image and Graphics

针对多运动目标在移动背景情况下跟踪性能下降和准确度不高的问题,本文提出了一种基于OPTICS聚类与目标区域概率模型的方法。 首先引入了Harris-Sift特征点检测,完成相邻帧特征点匹配,提高了特征点跟踪精度和鲁棒性;再根据各运动目标与背景运动向量不同这一点,引入了改进后的OPTICS加注算法,在构建的光流图上聚类,从而准确的分离出背景,得到各运动目标的估计区域;对每个运动目标建立一个独立的目标区域概率模型(OPM),随着检测帧数的迭代更新,以得到运动目标的准确区域。 多运动目标在移动背景情况下跟踪性能下降和准确度不高的问题通过本文方法得到了很好地解决,Harris-Sift特征点提取、匹配时间仅为Sift特征的17%。在室外复杂环境下,本文方法的平均准确率比传统背景补偿方法高出14%,本文方法能从移动背景中准确分离出运动目标。 实验结果表明,该算法能满足实时要求,能够准确分离出运动目标区域和背景区域,且对相机运动、旋转,场景亮度变化等影响因素具有较强的鲁棒性。