The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021最新文献_第3页

Proposal of a Method to Detect Obstacle Using Projector and Camera 一种基于投影仪和摄像机的障碍物检测方法的提出

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.037

Hayato Mizuno, Shiyuan Yang, S. Serikawa

{"title":"Proposal of a Method to Detect Obstacle Using Projector and Camera","authors":"Hayato Mizuno, Shiyuan Yang, S. Serikawa","doi":"10.12792/icisip2021.037","DOIUrl":"https://doi.org/10.12792/icisip2021.037","url":null,"abstract":"In recent years, the introduction of business and service robots has progressed in Japan, and the number of unmanned transfer robots is increasing. Therefore, I will focus on obstacle detection, which is an indispensable function for automated guided vehicles. Conventional methods for detecting obstacles include ultrasonic sensors, PSD sensors, and 2D-LIDAR, but they have disadvantages such as a narrow measurement range, being easily affected by disturbances, and having a long mechanical life. Therefore, as a previous research, our laboratory has been developing an obstacle detection system using a line laser and a camera in order to improve these disadvantages. In this method, a line laser is used to irradiate the floor surface in front of the robot with a horizontal line, and obstacles are detected from changes in the horizontal line. This method improves the disadvantages of the conventional method and enables the detection of obstacles with a long life that is not easily affected by disturbances over a wide area. However, there are disadvantages such as being able to detect only obstacles on the straight line of the laser and being able to detect only part of the obstacles. Therefore, I propose an obstacle detection system using a projector and a camera for the purpose of improving the disadvantages of the conventional method and the disadvantages of previous research. This method is a system in which a projector irradiates the floor surface in front of the robot with multiple vertical and horizontal lines and detects obstacles from the characteristic changes in the lines. In this study, we conducted three experiments to verify the superiority of this study when compared with the previous studies. As a result of the experiment, it was confirmed that this study improved the disadvantages of the conventional method and the previous study.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123586180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Trial Production of Modified Tricopter Based Vertical Take-off Landing Canard Aircraft with Tilt Tail Rotor 基于倾斜尾桨垂直起降鸭式改型三旋翼机的试制

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.035

K. Hayama, Tomohiro Kudou, H. Irie

引用次数: 0

A Survey on: Application of Transformer in Computer Vision 变压器在计算机视觉中的应用综述

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.006

Zhenghua Zhang, Zhangjie Gong, Qingqing Hong

{"title":"A Survey on: Application of Transformer in Computer Vision","authors":"Zhenghua Zhang, Zhangjie Gong, Qingqing Hong","doi":"10.12792/icisip2021.006","DOIUrl":"https://doi.org/10.12792/icisip2021.006","url":null,"abstract":"In the past few years, convolutional neural networks have been considered the mainstream network for processing images. Transformer first proposed a brand new deep neural network in 2017, based mainly on the self-attention mechanism, and has achieved amazing results in the field of natural language processing. Compared with traditional convolutional networks and recurrent networks, the model is superior in quality, has stronger parallelism, and requires less training time. Because of these powerful advantages, more and more related workers are expanding how Transformer is applied to computer vision. This article aims to provide a comprehensive overview of the application of Transformer in computer vision. We first introduce the self-attention mechanism, because it is an important component of Transformer, namely single-headed attention mechanism, multi-headed attention mechanism, position coding, etc. And introduces the reformer model after the transformer is improved. We then introduced some applications of Transformer in computer vision, image classification, object detection, and image processing. At the end of this article, we studied the future research direction and development of Transformer in computer vision, hoping that this article can arouse further interest in Transformer.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121288034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Development of Simulating Wave System (SWS) for a Hospitable Sleeping Environment with Artificial Vibration 人工振动适宜睡眠环境模拟波系统(SWS)的研制

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.014

Ami Furuzono, K. Moriya, K. Koshi, Keiji Matsumoto

{"title":"Development of Simulating Wave System (SWS) for a Hospitable Sleeping Environment with Artificial Vibration","authors":"Ami Furuzono, K. Moriya, K. Koshi, Keiji Matsumoto","doi":"10.12792/icisip2021.014","DOIUrl":"https://doi.org/10.12792/icisip2021.014","url":null,"abstract":"In this study, we propose a simulating wave system (SWS) that provides a comfortable sleep environment to release stress. This system realizes floating-feeling as if it feels like floating on the water surface by automatically swinging the seat back and forth, left and right. First, this paper describes the mechanical structure and control method on the developed prototype SWS. Since we assess the comfort levels of SWS with subjective and objective evaluations, we describe these criteria in detail. For objective evaluation, four types of criteria, such as LF/HF, ellipse area, SD1/SD2, and SD1, are adopted. LF/HF calculated from the Fourier transformed subject’s heart rate variability (HRV) and SD1/SD2 meaning the ratio of the major axis to the minor axis on a Lorenz plot are the values indicating sympathetic nerve activity. Ellipse areas on the Lorenz plot and minor axis SD1 are used as the value of parasympathetic nerve activity. For the subjective evaluation, a visual analog scale(VAS) is adopted that is a method of assessing sensation on a horizontal straight line ranging from 0 to 100 percent. This paper reports the research results of the proposed SWS on the above items.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122389550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Verbal Information in Background Music on Mental Task and its Relation to Cerebral Blood Flow 背景音乐中言语信息对心理任务的影响及其与脑血流的关系

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.013

N. Shirahama, Takahiro Higashi, Satoshi Watanabe

{"title":"Effects of Verbal Information in Background Music on Mental Task and its Relation to Cerebral Blood Flow","authors":"N. Shirahama, Takahiro Higashi, Satoshi Watanabe","doi":"10.12792/icisip2021.013","DOIUrl":"https://doi.org/10.12792/icisip2021.013","url":null,"abstract":"In today's society, there is a lot of desk work, and in schools and workplaces, people need to be able to perform various tasks efficiently and with concentration. The work environment has a significant impact on the efficiency of desk work. This study investigates the effects of background music on work and cerebral blood flow during mental tasks. In this study, we used NIRS to measure and verify changes in cerebral blood flow in collaborators who calculated and memorized English words while listening to background music. In particular, we hypothesized and tested that the presence or absence of vocals in the background music would affect cerebral blood flow. We adopted a block design as our experimental method for measuring cerebral blood flow. The descriptive statistics values, maximum, minimum, mean, and variance, were calculated from the measurement results of cerebral blood flow, and a box plot represented the size distribution. The experimental results showed that the variance of cerebral blood flow between collaborators was more significant during computational tasks than at rest. The group that contained verbal information had higher overall cerebral blood flow than the group that did not. Besides, cerebral blood flow was lower during the task than during rest.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128827421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey on Crop Image Segmentation Methods 农作物图像分割方法综述

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.008

Hong Qingqing, Yan Tianbao, Lihan Bin

引用次数: 0

Proposal of Automatic Dust Catcher Robot of Clothes Using Kinect 基于Kinect的衣物自动除尘机器人的设计方案

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.011

Natsuki Nakamoto, Yuhki Kitazono

{"title":"Proposal of Automatic Dust Catcher Robot of Clothes Using Kinect","authors":"Natsuki Nakamoto, Yuhki Kitazono","doi":"10.12792/icisip2021.011","DOIUrl":"https://doi.org/10.12792/icisip2021.011","url":null,"abstract":"If you come into contact with others with dust or animal hair on your clothes, there is a high possibility that you will make the other person develop an allergy or not be able to establish good communication. Thus, it is necessary to remove dusts and more from your clothes before going out. However, this work is done manually, which is time-consuming and time-consuming. To solve this problem, last time we developed a robot that automatically removes dust from clothes on hangers with a brush. The robot holds and pinches the clothes between two brushes and removes the dust by moving the brushes from top to bottom. It also removes dust from the entire clothes by repeatedly extending the arm with the brush attached and removing the dust. However, this robot could only operate for one garment at a time. In this paper, we develop a robot that can continuously care for multiple clothes. First, this robot rotates the hanger rack. Next, use the Kinect camera to look at the front of the brush and stop the rotation of the hanger rack when the clothes come. Third, remove the dust from the clothes in the same way as the previous robot we created. By repeating the above operation, multiple clothes can be removed dust in succession. The operation time of this robot is about two minutes. All the user has to do is put the clothes on the hanger, press the start button on the robot, and the robot will remove the dust from the clothes. While the robot is running, the user can spend his time doing other things. For example, by using this robot, you can make better use of your valuable morning time for yourself instead of using it to dust your clothes.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124523825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Development of a Simple Verification Environment Using FPGA for image processing Hardware Created by High-Level-Synthesis Using TCP/IP 基于FPGA的基于TCP/IP高级合成的图像处理硬件简单验证环境的开发

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.038

Atsushi Shojima, A. Yamawaki

{"title":"Development of a Simple Verification Environment Using FPGA for image processing Hardware Created by High-Level-Synthesis Using TCP/IP","authors":"Atsushi Shojima, A. Yamawaki","doi":"10.12792/icisip2021.038","DOIUrl":"https://doi.org/10.12792/icisip2021.038","url":null,"abstract":"The development of image processing hardware using FPGA requires various peripherals such as cameras, memory, and displays. Commercially available FPGA boards have various peripherals, but they cannot be used without developing and implementing their own interface circuits. In addition, since the on-board peripherals are different for each FPGA board, new interface circuits must be developed every time when employing different FPGA boards. Therefore, we are developing a general-purpose verification environment that can be imported into commercial FPGA boards, including CPUs, without the need for peripherals on the FPGA board. The feature of the proposed verification environment is that it provides virtual peripherals on a PC. In addition, the proposed verification environment can directly mount hardware modules that are automatically converted from software programs by High-Level Synthesis (HLS). As a result, the design of interface circuits with peripheral devices can be omitted. In this paper, to realize the above verification environment, we developed the software to be executed on the PC and the CPU on the FPGA board, respectively. The communication between the PC and FPGA was initially implemented using serial communication, but in this paper, Linux is installed on the FPGA board’s CPU, and TCP/IP communication is implemented between the PC and FPGA. Using these software, we investigated whether it is possible to verify images such as 4K for the image processing hardware created by HLS.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122712349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Temporal Changes of Cerebral Blood Flow for Stroop Color-Word Test: A Near-Infrared Spectroscopy Study 近红外光谱研究Stroop色字测试脑血流的时间变化

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.015

K. Koshi, Ryushi Morita, K. Moriya, Keiji Matsumoto, Hirohito Shintani

引用次数: 0

Fully Automatic Pet Sheet Disposal System Using Image Processing 采用图像处理的全自动Pet片材处理系统

The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021 Pub Date : 1900-01-01 DOI: 10.12792/icisip2021.010

Airi Taniguchi, Yuhki Kitazono

{"title":"Fully Automatic Pet Sheet Disposal System Using Image Processing","authors":"Airi Taniguchi, Yuhki Kitazono","doi":"10.12792/icisip2021.010","DOIUrl":"https://doi.org/10.12792/icisip2021.010","url":null,"abstract":"In recent years, more and more people have been keeping pets. Many zoonotic diseases now exist, and it is possible to become infected with zoonotic diseases from pets. One of the routes of infection is through excrement. Therefore, we have developed a device that automatically folds pet sheets. This system consists of two parts: a camera part that detects excrement and a part that processes the excrement. When the system recognizes that the pet has defecated through image processing, it automatically folds the pet sheet along the creases and opens the lid of the trash can for disposal. When the pet gets on the device to defecate, the system saves the image taken just before as a background, and when the pet gets off the device after defecating, the system recognizes the excrement and folds the left and right sides of the pet sheet, then the top and bottom. Then, the pet sheet is lifted to the front of the trash can and the lid of the trash can is opened using a DC motor. Finally, the pet sheet is thrown into the trash can, and the operation is completed by returning the arm and the trash can lid to their initial positions. The success rate of the experiment was 100% for the recognition of excrement and 100% for the disposal of excrement.","PeriodicalId":431446,"journal":{"name":"The Proceedings of The 8th International Conference on Intelligent Systems and Image Processing 2021","volume":"54 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123373399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1