2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)最新文献_第2页

Intelligent space at center for intelligent technologies — system proposal 以智能技术为中心的智能空间系统方案

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880301

Daniela Čurová, R. Haluska, Tomáš Hugec, Michal Puheim, J. Vaščák, P. Sinčák

引用次数: 5

Development of keyword-based image retrieval system in automatically annotated image database 自动标注图像数据库中基于关键词的图像检索系统的开发

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880321

András Placskó, S. Sergyán

引用次数: 0

Effective navigation in narrow areas: A planning method for autonomous cars 狭窄区域的有效导航:自动驾驶汽车的规划方法

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880346

D. Kiss, Dávid Papp

引用次数: 11

A new object proposal generation method for object detection in RGB-D data 一种新的RGB-D数据中目标检测的目标建议生成方法

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880341

Sang-Il Oh, Hang-Bong Kang

{"title":"A new object proposal generation method for object detection in RGB-D data","authors":"Sang-Il Oh, Hang-Bong Kang","doi":"10.1109/SAMI.2017.7880341","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880341","url":null,"abstract":"This paper proposes a modified selective search method that generates object proposals on RGB-D data in indoor scenes. The proposed method first applies color flattening to generate monotonous color variations in RGB image data. Then, from the color-flattened image and depth map data, cost function-based segment grouping and depth segmentation are applied to produce desirable segmentation results. Segment grouping using cost function on image data computes dissimilarities in color, texture, and size between two adjacent regions with pre-learned weights. Depth segmentation uses the height difference of grid cells in the binned depth grid map. The final set of object proposal regions extracted from the RGB image and depth map data is organized by considering the overlapping between two data modalities. Finally, the extracted set of object proposal regions is fed into AlexNet or VGG-16, both of which are widely used for object classification, to evaluate our method on object detection and classification tasks. The proposed segment-based method can precisely detect meaningful object regions using a smaller number of proposals than other methods. Further, its detection and classification performance are better than those of previous methods.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"2015 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":"128803162","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

Using mobile technologies with psychiatric patients: Assessing the potential to reduce risk of developing diseases related to inactivity 在精神病患者中使用移动技术:评估降低与不活动相关的疾病风险的潜力

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880310

A. Holubová, J. Schlenker, V. Socha, J. Mužík, D. Gillar, M. Doksanský, M. Poláček, K. Hána, J. Kašpar, P. Smrcka, M. Cendelínová, J. Gojda

{"title":"Using mobile technologies with psychiatric patients: Assessing the potential to reduce risk of developing diseases related to inactivity","authors":"A. Holubová, J. Schlenker, V. Socha, J. Mužík, D. Gillar, M. Doksanský, M. Poláček, K. Hána, J. Kašpar, P. Smrcka, M. Cendelínová, J. Gojda","doi":"10.1109/SAMI.2017.7880310","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880310","url":null,"abstract":"Mental disorders, such as schizophrenia, are accompanied by increased morbidity and mortality rates, potentially reducing the lifespan of patients by up to 10 years. Premature deaths in schizophrenia sufferers are caused mainly by cardiovascular diseases and complications related to excessive weight gain and type 2 diabetes mellitus. Gaining weight is, furthermore, often a side effect of medicine prescribed for the treatment of schizophrenia. This is why treatment protocols are putting a greater emphasis on healthy lifestyle and exercise for patients, which may support both weight loss and suppress feelings of anxiety. It is, therefore, important for a doctor to monitor the exercise habits of their patients. This article focuses on telemonitoring of physical activity and other biological parameters in patients with mental disorders, such as schizophrenia, using the recent m-Health technology in the form of a Fitbit Flex activity tracker. The Soma web portal has been created to continuously monitor, visualize and analyse the data measured on patients within the scope of research activities.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"33 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":"126392663","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

Identification of small scale turbojet engine with variable exhaust nozzle 小型可变排气喷嘴涡喷发动机的辨识

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880278

K. Beneda, L. Főző

引用次数: 4

Anti-spoofing in face recognition with liveness detection using pupil tracking 基于瞳孔跟踪的活体检测人脸识别防欺骗

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880281

Mehmet Killioglu, M. Taskiran, N. Kahraman

{"title":"Anti-spoofing in face recognition with liveness detection using pupil tracking","authors":"Mehmet Killioglu, M. Taskiran, N. Kahraman","doi":"10.1109/SAMI.2017.7880281","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880281","url":null,"abstract":"In this work, we focused on liveness detection for facial recognition system's spoofing via fake face movement. We have developed a pupil direction observing system for anti-spoofing in face recognition systems using a basic hardware equipment. Firstly, eye area is being extracted from real time camera by using Haar-Cascade Classifier with specially trained classifier for eye region detection. Feature points have extracted and traced for minimizing person's head movements and getting stable eye region by using Kanade-Lucas-Tomasi (KLT) algorithm. Eye area is being cropped from real time camera frame and rotated for a stable eye area. Pupils are extracted from eye area by using a new improved algorithm subsequently. After a few stable number of frames that has pupils, proposed spoofing algorithm selects a random direction and sends a signal to Arduino to activate that selected direction's LED on a square frame that has totally eight LEDs for each direction. After chosen LED has been activated, eye direction is observed whether pupil direction and LED's position matches. If the compliance requirement is satisfied, algorithm returns data that contains liveness information. Complete algorithm for liveness detection using pupil tracking is tested on volunteers and algorithm achieved high success ratio.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"32 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":"133552316","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: 33

Robot navigation in unknown environment using fuzzy logic 基于模糊逻辑的未知环境下机器人导航

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880317

N. Kumar, M. Takács, Z. Vámossy

引用次数: 18

Challenges with the integration of robotics into tactical team operations 将机器人技术整合到战术团队行动中的挑战

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880318

Daniel W. Carruth, Cindy L. Bethel

{"title":"Challenges with the integration of robotics into tactical team operations","authors":"Daniel W. Carruth, Cindy L. Bethel","doi":"10.1109/SAMI.2017.7880318","DOIUrl":"https://doi.org/10.1109/SAMI.2017.7880318","url":null,"abstract":"As robotic systems become increasingly sophisticated, there is strong interest in deploying them in challenging and stressful environments. There are many potential advantages for the use of robotic systems in law enforcement and military operations. Robotic systems can provide the ability to perceive and act at a safe distance. However, achieving the full potential of robotic systems integration presents significant research challenges. The authors have observed field evaluations of candidate robotic systems, assessed potential roles for robots in tactical operations, evaluated standard and novel command and control interfaces, investigated levels of automation, and developed intelligent systems to support robot operations. Recently, a 6-month evaluation of an iterative development process for a command and control interface for distractionary devices (lights and sounds) was completed. Effective integration of a robotic system presents significant communication and machine intelligence challenges. A fully integrated robotic system should be able to understand and participate in actions as a team member with limited direct communication. This requires that the robot demonstrate scene understanding, situation awareness, knowledge of tactical operations, and more. The authors will discuss lessons learned and identify opportunities for future research to expand the capabilities of tactical robotic systems.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"127 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":"116645893","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: 3

Building environment analysis based on clustering methods from sensor data on top of the Hadoop platform 基于Hadoop平台的传感器数据聚类方法构建环境分析

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI: 10.1109/SAMI.2017.7880279

M. Sarnovský, David Bajus

引用次数: 2