中国科学院机构知识库网格系统: 检索

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	GPU-accelerated scanning path optimization in particle cancer therapy 期刊论文 OAI收割 NUCLEAR SCIENCE AND TECHNIQUES, 2019, 卷号: 30, 期号: 4, 页码: — 作者: Wu, C; Pu, YH; Zhang, X \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2019/12/30 MOVING TARGETS RADIOSURGERY SEARCH SYSTEM
	Respiratory motion management using audio-visual biofeedback for respiratory-gated radiotherapy of synchrotron-based pulsed heavy-ion beam delivery 期刊论文 OAI收割 MEDICAL PHYSICS, 2014, 卷号: 41, 页码: 111708 作者: Ma, YY; Shen, GS; Fu, TY; Zhao, T; Dai, ZY \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2015/11/20 External Marker Tracking Inspiration Breath-hold Lung-tumor Motion Cancer Radiotherapy Moving Targets Therapy Irradiation System Model Compensation
	The application of variable-structure control in theodolite fast capture (EI CONFERENCE) 会议论文 OAI收割 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, August 1, 2012 - August 2, 2012, Guangxi, China Bing G. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 The high capability of O-E theodolite to track and acquire fast moving targets is required these years because of the rapid advancement of tested targets and automation of equipments. The traditional method of increasing the frequency width is limit. By using multi control models and velocity leading the capability to track and acquire fast moving target is improved highly. The theories and technologies discussed in this dissertation were tested with experiments. It verifies that the theoretical analysis in this dissertation is correct. (2012) Trans Tech Publications Switzerland.
	Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Bai X.-G.; Dai M. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first we get the weight image from the target candidate region. Then we analyze the differences between the object and background. According to that the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix we can estimate the width height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.
	Detection and tracking of low contrast targets based on integertype lifting wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang L.; Wang L.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.