中国科学院机构知识库网格系统: 检索

IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets 期刊论文 OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 4, 页码: 3049-3055
作者: Gao, Xiang; Cui, Hainan; Huang, Wantao; Li, Menghan; Shen, Shuhan

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收藏 | 浏览/下载：28/0 | 提交时间：2024/05/30

Global structure from motion large-scale rotation averaging multiple connected dominating sets

IRAv3: Hierarchical Incremental Rotation Averaging on the Fly 期刊论文 OAI收割
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 33, 期号: 4, 页码: 2001-2006
作者: Gao, Xiang; Cui, Hainan; Li, Menghan; Xie, Zexiao; Shen, Shuhan

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收藏 | 浏览/下载：12/0 | 提交时间：2023/04/25

Global structure from motion Large-scale rotation averaging On-the-fly epipolar-geometry graph clustering

A Precise Method to Calibrate Dynamic Integration Errors in Shallow- and Deep-Water Multibeam Bathymetric Data 期刊论文 OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14
作者: Bu, Xianhai; Mei, Sai; Yang, Fanlin; Luan, Zhendong; Xu, Fangzheng

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收藏 | 浏览/下载：40/0 | 提交时间：2022/02/18

Structural beams Transducers Calibration Motion detection Tides Geology Global navigation satellite system Differential evolution (DE) georeferenced model integration errors motion sensor multibeam echo-sounder system (MBES)

A Robust Deep Affinity Network for Multiple Ship Tracking 期刊论文 OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 20
作者: Zhang, Wen; He, Xujie; Li, Wanyi; Zhang, Zhi; Luo, Yongkang

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收藏 | 浏览/下载：30/0 | 提交时间：2021/11/02

Complex marine scenes joint global region modeling (JGRM) module marine surveillance motion-matching optimization (MMO) module multiple ship tracking (MST)

Image Motion Velocity Model and Compensation Strategy of Wide-Field Remote Sensing Camera 期刊论文 OAI收割
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2018, 卷号: 43, 期号: 8, 页码: 1278-1286
作者: Li, Yongchang; Jin, Longxu; Li, Guoning; Wu, Yinan; Wang, Wenhua

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收藏 | 浏览/下载：16/0 | 提交时间：2019/09/17

Remote sensing Cameras Global optimization Image quality Integration Mirrors Motion compensation Orbits Satellites Velocity

Distinct Aging Effects on Motion Repulsion and Surround Suppression in Humans 期刊论文 OAI收割
FRONTIERS IN AGING NEUROSCIENCE, 2017, 卷号: 9, 期号: 0, 页码: 1-8
作者: Deng, Hu; Chen, Weiying; Kuang, Shenbing; Zhang, Tao

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收藏 | 浏览/下载：41/0 | 提交时间：2017/12/18

Aging Motion Repulsion Surround Suppression Local Mutual Inhibition Global Inter-areal Inhibition

Neural Decoding of Visual Stimuli Varies with Fluctuations in Global Network Efficiency 期刊论文 OAI收割
HUMAN BRAIN MAPPING, 2017, 卷号: 38, 期号: 6, 页码: 3069-3080
作者: Cocchi, Luca; Yang, Zhengyi; Zalesky, Andrew; Stelzer, Johannes; Hearne, Luke J.

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收藏 | 浏览/下载：33/0 | 提交时间：2017/09/12

Dynamic Connectivity Decoding Fmri Global Efficiency Brain Networks Connectomics Vision Faces Motion

Low-level processing deficits underlying poor contrast sensitivity for moving plaids in anisometropic amblyopia 期刊论文 OAI收割
VISUAL NEUROSCIENCE, 2012, 卷号: 29, 期号: 6, 页码: 315-323
Tang, Yong; Chen, Linyi; Liu, Zhongjian; Liu, Caiyuan; zhou, yifeng; 周逸峰

收藏 | 浏览/下载：32/0 | 提交时间：2013/12/24

Pattern motion Global processing Motion integration Middle temporal area (MT)

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Searching for Life Motion Signals: Visual Search Asymmetry in Local but Not Global Biological-Motion Processing 期刊论文 OAI收割
PSYCHOLOGICAL SCIENCE, 2010, 卷号: 21, 期号: 8, 页码: 1083-1089
作者: Wang, Li; Zhang, Kan; He, Sheng; Jiang, Yi

收藏 | 浏览/下载：30/0 | 提交时间：2015/09/17

visual search biological motion local global attention