中国科学院机构知识库网格系统: 检索

SSR-HEF: Crowd Counting With Multiscale Semantic Refining and Hard Example Focusing 期刊论文 OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18
作者: Chen, Jiwei; Wang, Kewei; Su, Wen; Wang, Zengfu

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收藏 | 浏览/下载：45/0 | 提交时间：2022/12/23

Semantics Task analysis Feature extraction Focusing Informatics Estimation Prediction algorithms Crowd counting density map hard example focusing (HEF) multiscale semantic refining strategy (SSR)

Single UWB Anchor Aided PDR Heading and Step Length Correcting Indoor Localization System 期刊论文 OAI收割
IEEE ACCESS, IEEE ACCESS, 2021, 2021, 卷号: 9, 9, 页码: 11511-11522, 11511-11522
作者: Long, Keliu; Shen, Chong; Tian, Chuan; Zhang, Kun; Bhatti, Uzair Aslam

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收藏 | 浏览/下载：35/0 | 提交时间：2021/03/23

Location awareness Location awareness Distance measurement Legged locomotion Estimation Gyroscopes Filtering algorithms Kalman filters Pedestrian dead reckon ultra-wide band indoor localization fusion strategy Distance measurement Legged locomotion Estimation Gyroscopes Filtering algorithms Kalman filters Pedestrian dead reckon ultra-wide band indoor localization fusion strategy

GPS and BDS combined PPP model with inter-system differenced observations 期刊论文 OAI收割
ADVANCES IN SPACE RESEARCH, 2020, 卷号: 65, 期号: 1, 页码: 494-505
作者: Tu, Rui; Hong, Ju; Zhang, Rui; Han, Junqiang; Fan, Lihong

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收藏 | 浏览/下载：16/0 | 提交时间：2020/11/09

Precise point positioning (PPP) Inter-system differenced PPP model GPS and BDS convergence time Estimation strategy

Characteristics of inter-system biases in Multi-GNSS with precise point positioning 期刊论文 OAI收割
ADVANCES IN SPACE RESEARCH, 2019, 卷号: 63, 期号: 12, 页码: 3777-3794
作者: Hong, Ju; Tu, Rui; Gao, Yaping; Zhang, Rui; Fan, Lihong

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收藏 | 浏览/下载：13/0 | 提交时间：2021/11/29

Global navigation satellite system Inter-system bias (ISB) Analysis of characteristics Precise point positioning (PPP) Estimation strategy

Plug-and-Play Based Optimization Algorithm for New Crime Density Estimation 期刊论文 OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 2, 页码: 476-493
作者: Feng, Xiang-Chu; Zhao, Chen-Ping; Peng, Si-Long; Hu, Xi-Yuan; Ouyang, Zhao-Wei

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收藏 | 浏览/下载：59/0 | 提交时间：2019/07/12

crime density estimation augmented Lagrangian strategy Plug-and-Play filtering operator

Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5655-5666
作者: Liu, Jing; Wang, Yuhang; Li, Yong; Fu, Jun; Li, Jiangyun

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收藏 | 浏览/下载：65/0 | 提交时间：2019/12/16

Deconvolutional neural network (DCNN) depth estimation fully connected conditional random field (CRF) pointwise bilinear layer semantic segmentation soft mapping strategy

First description of Grey Heron Ardea cinerea migration recorded by GPS/GSM transmitter 期刊论文 OAI收割
ORNITHOLOGICAL SCIENCE, 2018, 卷号: 17, 期号: 2, 页码: 223-228
作者: Xu, Zhenggang; Ye, Xueqin; Aharon-Rotman, Yaara; Cao, Lei; Yu, Hui

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收藏 | 浏览/下载：152/0 | 提交时间：2019/06/17

Habitat selection Kernel Density Estimation Migration route Migration strategy Stopovers

An Efficient Insertion Control Method for Precision Assembly of Cylindrical Components 期刊论文 OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 12, 页码: 9355-9365
作者: Liu, Song; Li, You-Fu; Xing, Deng-Peng; Xu, De; Su, Hu

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收藏 | 浏览/下载：36/0 | 提交时间：2018/01/04

Assessment Function Discount Factor Insertion Control Strategy Insertion Depth Estimation Precision Assembly Stochastic State Transition

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.

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).

A Supervised Combination Strategy for Illumination Chromaticity Estimation 期刊论文 OAI收割
ACM TRANSACTIONS ON APPLIED PERCEPTION, 2010, 卷号: 8, 期号: 1
作者: Li, Bing; Xiong, Weihua; Xu, De; Bao, Hong

收藏 | 浏览/下载：26/0 | 提交时间：2015/08/12

Algorithms Experimentation Combination strategy color constancy illumination estimation extreme learning machine