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Obstacle Avoidance Based on Component Separation-refusion Algorithm for Blind People

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Obstacle Avoidance Based on Component Separation-refusion Al...

第40届中国控制会议

作者： Xinzhen Ren Fulong Yao Tianfang zhou Xiaogang Gu wenju zhou School of Mechatronic Engineering and Automation Shanghai University The Faculty of Engineering Architecture and Information Technology The University Of Queensland

How to guarantee the basic rights and interests of blind people is an urgent problem that needs to be addressed. The visual assistance system for the blind people is a good choice. Obstacle detection in the visual assistance system for blind people is extremely important, however existing obstacle avoidance methods based on machine vision do not consider the impact of shadows in the environment. This paper proposes an obstacle avoidance method based on machine vision, includes an obstacle detection algorithm and a direction planning strategy, to assist blind people to move freely. Firstly, a component separationrefusion algorithm based on the HSV model is proposed to reduce the influence of shadows in the environment. Secondly, an obstacle avoidance method, includes an obstacle detection based on image blocks and a direction planning strategy, is developed to help blind people avoid obstacles both indoors and outsides. Finally, the proposed method is tested under various light intensities and venues, experiments show that this method can effectively help blind people avoid obstacles and improve mobility.

关键词： Obstacle avoidance shadow removal blind people HSV machine vision path planning

The Detection Method of Printed Registration Deviations Based on Machine Vision

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The Detection Method of Printed Registration Deviations Base...

2013年中国智能自动化学术会议

作者： Kailong Liu Minrui Fei wenju zhou Haikuan Wang School of Mechanical Engineering and Automation Shanghai University

In order to meet the actual requirements of judging four-color printed registration deviations quickly and accurately,this article describes a new detection method based on machine vision and the method has been designed involving three processes:removing interferential image by a corresponding region character separation(RCS) algorithm;detecting the edge of registration mark by interpolation subpixel algorithm and use weighted markov chain to calibrate the *** experiment indicates that the speed and accuracy with this method have greatly improved,and even with noise interference,this method can detect deviation quickly and accurately,superior to the traditional detection method.

关键词： Registration deviation Machine vision Region character separation Interpolation subpixel algorithm Weighted markov chain

LSTM-Based Visibility Detection for Airport Images in Time Series

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LSTM-Based Visibility Detection for Airport Images in Time S...

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作者： Xiaofei Han Tianfang zhou Yu He Yayu Chen Rongfei Chen wenju zhou School of Mechanical Engineering and Automation Shanghai University The Faculty of Engineering Architecture and Information Technology The University of Queensland

Atmospheric visibility detection is essential for assuring safety in traffic and aviation. There have been some methods that can indirectly detect visibility by analyzing the images. However, most of these methods ignore the continuous information in the video while getting independent images from the video. It’s also difficult work to defining image features that reflect visibility accurately and comprehensively. To address these issues, this paper proposes a visibility detection method based on image-feature information fusion LSTM（Long Short-Term Memory）. For reducing the complexity of calculation and improve the effect of model training, the key image feature values were extracted into a vector, then the input matrix of the LSTM was composed by these vectors in time series. Experiments demonstrated that our method can focus on the key image features and make full use of continuous information in the video, and thus achieve a satisfying performance invisibility detection.

关键词： LSTM Atmospheric visibility detection Time-series images Feature extraction

A Decomposed Projective Method based on FBT-VMD and t-ELM for Facial Emotion Recognition

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A Decomposed Projective Method based on FBT-VMD and t-ELM fo...

第40届中国控制会议

作者： Rongfei Chen Zixiang Fei wenju zhou Xiaofei Han Huaqing Teng Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Department of Design Manufacture and Engineering Management University of Strathclyde Shanghai Instrument Research Institute

The performance of affective computing, in particular, of facial emotion recognition, is often limited by the low interpretability of the network structure, parameter redundancy, the high computational complexity with large consumption caused by CNN strategy in extracting features. The decomposed projective method, which integrates dimensional conversion,signal analysis, and dimensionality reduction for facial emotion image processing, is considered in this presentation. The main contributions of this work are the following: 1) a dimensional conversion for a facial image, which transforming the 2-D image matrix into a 1-D signal using Fan Beam Transform（FBT）;2) a hierarchical analysis method for the signal with mode decomposition（VMD） for feature selection;and 3) a method combining the t-SNE algorithm and Extreme Learning Machine（ELM） is introduced to reduce the dimension of feature vectors and predict classification. Experimental results present a satisfactory performance with 80.17% accuracy.

关键词： Affective Computing Facial Emotion Recognition Dimensionality Reduction Machine Learning

Real time 3D Hand Gesture Recognition by Weighted Depth Difference Motion History Image in Networked HCI

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Real time 3D Hand Gesture Recognition by Weighted Depth Diff...

第40届中国控制会议

作者： Haoyang Luo Haikuan Wang wenju zhou Kangli Liu Jinqi Fu School of Mechatronic Engineering and Automation Shanghai University Shanghai Key Laboratory of Power Station Automation Technology Shanghai University

Hand gesture recognition applied in human-computer interaction（HCI） is a useful but challenging task because of the low inter-class and high intra-class variability. It is difficult to improve real-time performance while ensuring accuracy. Since simple but robust features are crucial for the performance of recognition, we proposed the weighted depth difference motion history image（WDD-MHI） to extract spatial-temporal information. Subsequently, a weighted random forest classifier with second training is employed for action classification. The developed method is shown to be computationally efficient allowing it to run in real-time. We designed a multimedia video-wall control system based on online gesture recognition, the recognition results indicate competitive performance of our method over the other methods.

关键词： Hand gesture recognition human-computer interaction networked control 3D depth image

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基于单片机红外无线通信的抄表系统

微计算机信息 2006年第2Z期22卷 45-47,113页

作者：周文举山东枣庄学院计算机系 277100

本文介绍了用红外线实现上位单片机和多个单片机间的无线串行通信的新方法,并基于该方法设计实现了新型无线抄表系统,给出了硬件线路图、通信协议和程序流程图及用MCS51汇编语言编写的部分串行通信程序。

关键词：红外线单片机抄表系统主从式无线串行通信

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基于PL3201的载波通信远程抄表系统

自动化仪表 2009年第5期30卷 27-30页

作者：周文举鲁东大学实验室与设备管理处山东烟台264025

利用载波通信进行电度表数据的传递,一直以来是人们研究的热点。其最大困难是如何在复杂电力环境下克服通信干扰问题。利用最新的国产电度表专用抄表载波通信芯片PL3201,设计了新型的电度表抄表系统,分别给出了系统的工作原理、硬件设... 详细信息

利用载波通信进行电度表数据的传递,一直以来是人们研究的热点。其最大困难是如何在复杂电力环境下克服通信干扰问题。利用最新的国产电度表专用抄表载波通信芯片PL3201,设计了新型的电度表抄表系统,分别给出了系统的工作原理、硬件设计以及部分关键软件流程图。该系统在抗干扰、串扰等多方面都有较好的表现。

关键词：载波通信PL3201抄表系统电度表数据传输

Visibility detection and prediction of foggy highway based on lane line detection and Winters additive model

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Visibility detection and prediction of foggy highway based o...

第40届中国控制会议

作者： Yu He Jun Ding Huaqiang Teng Xiaofei Han Yayu Chen wenju zhou Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai Instrument Research Institute

Highway fog is one of the main reasons of causing a traffic accident, so the fog highway visibility detection is very important. In the existing methods, it is necessary to set an appropriate target in advance for visibility calculation and most of the methods are based on neural network for visibility prediction, which restricts the efficiency of visibility detection and *** view of the above problems, this paper proposes a highway visibility detection and prediction method based on lane detection and Winters additive model in foggy days. This method is based on the dark channel prior theory to obtain the highway image after fog removal and extract the coordinates of the end points of the lane line from the image. The visibility of highway in foggy days is calculated with the lane line as the reference. The visibility time series were fitted and predicted based on Winters additive model. The experimental results show that the method can accurately calculate and predict the highway visibility in foggy days without the need of camera calibration.

关键词： Lane detection dark channel prior theory winters additive model visibility detection and prediction

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一种基于知识点的遗传算法组卷的改进应用

山东师范大学学报（自然科学版） 2006年第3期21卷 39-42页

作者：周文举枣庄学院计算机科学系山东枣庄277160

一个自动组卷系统的组卷效率和组卷质量取决于算法和试题数据库的结构.本文针对库结构和算法进行改进,提出基于知识点约束的分题型试题库结构及分组实数编码的遗传算法,采用具有自适应性的交叉和变异遗传算子,成功解决了多目标随机搜索... 详细信息

一个自动组卷系统的组卷效率和组卷质量取决于算法和试题数据库的结构.本文针对库结构和算法进行改进,提出基于知识点约束的分题型试题库结构及分组实数编码的遗传算法,采用具有自适应性的交叉和变异遗传算子,成功解决了多目标随机搜索时易产生死区和死循环的问题,提高了搜索速度和效率.根据试题的难度和试题的时间对试题进行赋分,并以每个知识点的分值之和占试卷总分值的比例作为知识点搜索条件,加入到适应函数中,使知识点定位更加合理准确.

关键词：知识点胚库结构遗传算法自动组卷实数编码