2012 IEEE International Conference on Imaging Systems and Techniques Proceedings最新文献

New method for breast tumor tracking 乳腺肿瘤追踪的新方法

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-09-17 DOI: 10.1109/IST.2012.6295597

E. Seppi, G. Zentai, L. Partain, M. Richmond, R. Pavlyuchkova, R. Anderson

引用次数: 1

Two phase flow visualization in an annular tube by an Electrical Resistance Tomography 电阻层析成像显示环管内两相流

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295498

S. Ren, C. Tan, F. Dong

引用次数: 3

Ultrasound high resolution imaging using a modified synthetic aperture focusing method 一种改进的合成孔径聚焦超声高分辨率成像方法

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295534

J. J. M. Chan, J. R. B. Taylor, G. Thomas

引用次数: 5

Error analysis of SAR motion compensation SAR运动补偿误差分析

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295562

Y. Mao, M. Xiang, Lideng Wei, Yin-wei Li, Wen Hong

引用次数: 9

Using high-speed photography and image processing for fixational eye movements measurement 利用高速摄影和图像处理技术测量眼球运动

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295506

Jiamao Li, Xiaolin Zhang

{"title":"Using high-speed photography and image processing for fixational eye movements measurement","authors":"Jiamao Li, Xiaolin Zhang","doi":"10.1109/IST.2012.6295506","DOIUrl":"https://doi.org/10.1109/IST.2012.6295506","url":null,"abstract":"As we known the vision system plays a very important role for people. Eye movements are an important part of human's vision system. Scientists have studied fixational eye movements for many years, and the importance of fixational eye movements has been experimentally demonstrated. However, fixational eye movements have not been explained clearly because of the technical problems associated with experimentation. To measure these eye movements, we developed a new eye movement measurement device that offers sufficient accuracy. The device can detect rotation in three degrees of freedom and is also less-invasive. We discovered several new characteristics of fixational eye movement by using the device. The first new finding of our study is the occurrence of fixational eye movements associated with rotation around the optical axis. The second finding is that we observed is an impulse-like movement behaviour that occurs generally in the horizontal direction. Our other new findings include the following: most microsaccade tracks are curve lines, and microsaccades of rotation in three degrees of freedom always occur at the same time.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130420669","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: 6

Fan-beam TDLAS tomography for gas concentration distribution with limited data 扇束TDLAS层析成像在有限数据下的气体浓度分布

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295544

Chang Liu, Lijun Xu, Z. Cao, Yuanhong Yang

引用次数: 3

An improved particle filter for multi-feature tracking application 多特征跟踪应用的改进粒子滤波

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295576

Zhelong Wang, Hongyu Zhao, Hong Shang, S. Qiu

引用次数: 2

An real-time roadside sign recognition scheme for mobile probing cars with smart phones 一种用于智能手机移动探测车的实时路边标志识别方案

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295488

Ching-Hao Lai, Shu-Min Chuang, P. Chu, Chih-Hung Li

{"title":"An real-time roadside sign recognition scheme for mobile probing cars with smart phones","authors":"Ching-Hao Lai, Shu-Min Chuang, P. Chu, Chih-Hung Li","doi":"10.1109/IST.2012.6295488","DOIUrl":"https://doi.org/10.1109/IST.2012.6295488","url":null,"abstract":"In recent years, intelligent traffic system (ITS) and telematics system have become a popular issue for traffic safety, convenience and efficiency. The real-time and historical traffic and other roadside information is very helpful information and can be analyzed to give good telematics services and traffic controlling, such as navigation, traffic flow, weather, traffic prediction and so on. This paper proposes an efficient real-time image recognition scheme to recognize roadside signs, such as traffic signs and common commercial marks, to collect real-time roadside traffic and other information by smart phones in mobile probing cars. The proposed scheme contains two stages. The first stage is used to detect regions of interest (ROI) which contain interesting object target, and the second stage is to recognize the detected regions. The recognition results can be collected in a cloud-based database to be further analyzed and applied in traffic information service. The experiment performs the proposed sign recognition method using traffic speed limitation signs to show its performance. The average speed is 0.085 seconds for a video frame and the average accuracy can achieve about 98%. Hence, the proposed scheme can keep lower computing complexity, however it still can obtain a well accuracy.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115928316","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

MRI denoising based on neutrosophic wiener filtering 基于中性维纳滤波的MRI去噪

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295518

J. Mohan, Yanhui Guo, V. Krishnaveni, Kanchana Jeganathan

引用次数: 28

Visual odometry with failure detection for the aegis UAV 基于故障检测的宙斯盾无人机视觉里程计

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295501

Jose F. Roger-Verdeguer, Mikael Mannberg, A. Savvaris

{"title":"Visual odometry with failure detection for the aegis UAV","authors":"Jose F. Roger-Verdeguer, Mikael Mannberg, A. Savvaris","doi":"10.1109/IST.2012.6295501","DOIUrl":"https://doi.org/10.1109/IST.2012.6295501","url":null,"abstract":"In this paper, a visual odometry system that has been developed to help solve the navigation problem on a UAV is presented. This system is part of the vision-based positioning system that will be used on a new UAV currently in development at Cranfield University. Using images captured from a single camera, the ego-motion of the aircraft is estimated and the relative position is updated every time a new frame is processed. To understand how this is achieved, each of the steps in the implemented visual odometry algorithm is explained in detail, taking a look to the techniques that make it possible. In addition, a failure detection system based on the corner tracking error has also been added to the algorithm to make the system more robust and able to automatically deactivate in poor conditions. Following the description of the visual odometry system, its performance is evaluated using terrain images from Google Earth (GE) and also from a real aerial footage captured on board a Curtis Pitts aircraft. The influence on the error of several factors such as the altitude, the flight speed, the terrain type and the number of corners to be tracked is studied and explained in detail. Finally, the future work to integrate the visual odometry system with a geolocation system to produce the vision-based positioning system of the Aegis UAV is briefly outlined.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131295861","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: 7