中国科学院机构知识库网格系统: 检索

One-Stage Cascade Refinement Networks for Infrared Small Target Detection 期刊论文 OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61
作者: Dai, Yimian; Li, Xiang; Zhou, Fei; Qian, Yulei; Chen, Yaohong

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收藏 | 浏览/下载：36/0 | 提交时间：2023/03/29

Object detection Head Magnetic heads Feature extraction Proposals Task analysis Location awareness Infrared small target label assignment normalized contrast (NoCo) one-stage cascade refinement single-frame infrared small target (SIRST)-V2 dataset

A Multi-Target Passive Location Method Based on GDOP Value and Beam Resolution 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 卷号: 36, 期号: 8
作者: Miao, Sheng; Dong, Liang; Wang, Xiaorui

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收藏 | 浏览/下载：40/0 | 提交时间：2022/07/18

Sensor network time difference of arrival multi-target location unsupervised clustering narrow-band beam forming

Precise Modulation Strategies for Transcranial Magnetic Stimulation: Advances and Future Directions 期刊论文 OAI收割
NEUROSCIENCE BULLETIN, 2021, 页码: 17
作者: Zhong, Gangliang; Yang, Zhengyi; Jiang, Tianzi

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收藏 | 浏览/下载：35/0 | 提交时间：2021/11/03

Transcranial magnetic stimulation Modulation strategies Precise stimulation target Coil location Individual treatment paradigm

A Underwater Acoustic Communication Network for Multi-AUV Cooperative Target Location 会议论文 OAI收割
Dalian, China, July 15-17, 2021
作者: Qiu TY(裘天佑); Li YP(李一平); Zeng JB(曾俊宝); Xu YP(徐高朋); Feng XS(封锡盛)

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收藏 | 浏览/下载：28/0 | 提交时间：2021/11/21

Underwater Acoustic Network Multi-AUV Cooperative Target Location

Target recognition of indoor trolley for humanoid robot based on piecewise fitting method 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2019, 卷号: 33, 期号: 8, 页码: 1319-1327
作者: Zhang, Lei; Liu, Huiling; Luo, Chengfang; Bian, Gui-Bin; Wu, Wanqing

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收藏 | 浏览/下载：67/0 | 提交时间：2019/12/16

cart pushing heavy load posture control target location target recognition

ZigBee indoor positioning system precision parameter study based on BP neural network 会议论文 OAI收割
International Conference on Computer, Networks and Communication Engineering (ICCNCE), Beijing, PEOPLES R CHINA, MAY 23-24, 2013
Zeng Wenxiao; Wang Yanen; Wang Meng; Guo Ye

收藏 | 浏览/下载：23/0 | 提交时间：2014/11/10

CC2431 Zigbee location BP Neural Network Euclidian distance centroid algorithm multi-target detection indoor

装配机器人系统的工件定位和抓取装配研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者: 赵广涛

收藏 | 浏览/下载：210/0 | 提交时间：2015/09/02

装配机器人目标检测三维工件定位图像矩抓取点提取 Assembly robot Target recognition Work-piece location Image moment Extraction of the grasp point

Precise motion compensation based on weighted sub-pixel image matching (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Liang H. G.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

This paper proposed a sub-pixel image correlation algorithm that can get more Precise result its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image the relativity of correspond location where match best with template will be most high and in its neighbour range the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper some experiment data be proposed it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.

The method on the measurement of the aircraft attitude by the spatial cosines relationship of the single station and planes to the intersection the multi-station of electro-optical theodolite (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Zhao L.-R.; Cao Y.-G.

收藏 | 浏览/下载：16/0 | 提交时间：2013/03/25

In order to realize the aircraft attitude measurement The paper advances electro-optical theodolite methods of measuring the aircraft attitude by using the spatial cosines relationship the single station theodolite and how to use intersection of the multi-station theodolite. The single station theodolite was introduced in a measured distance from the aircraft posture information. An exhaustive approach was used to access to the aircraft axis of the feature points and the location in the space was used to obtain space posture parameters. The multi-station theodolite was introduced to get the information of the aircraft flight attitude by method of using planes to the intersection. Two-dimensional image to obtain objective axis by fitting algorithm using Hough transform. And then Calculate the vertical distance of the origin to the target of the central axis and the origin to the target of the central axis of the angle between the normal and the X-axis obtaining the linear equation in the two-dimensional plane. Two-dimensional axis of the target image and the camera system's optical center only identified a space plane. The aircraft yaw axis angle and pitch angle can be obtained by getting the space axis using plains to the intersection method. Experimental results show that attitude angle error of the single station theodolite is less than 1 when its distance is less than 6000m and attitude angle error of the multi-station theodolite is less than 0.6 when its intersection angle is between 30 and 150. In this paper according to test result of precision comparing the mathematical model is correct and the algorithm is reasonable in extracting effective parameters of the aircraft's attitude. 2010 IEEE.

Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Dong Y.; Chuan W.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

In Video tracking detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field feature histogram of luminance is as observe vector and used posterior estimate. In this paper the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2010 IEEE.