中国科学院机构知识库网格系统: 检索

Hierarchical Human Motion Intention Prediction for Increasing Efficacy of Human-Robot Collaboration 期刊论文 OAI收割
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 9, 页码: 7637-7644
作者: Meng, Lingyi; Yang, Lin; Zheng, Enhao

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收藏 | 浏览/下载：12/0 | 提交时间：2024/09/09

Task analysis Robots Trajectory Muscles Predictive models Collaboration Sawing Human-robot collaboration human motion intent human motion prediction human motion decoding efficacy

Polarimetric MDS of pedestrian 期刊论文 OAI收割
ELECTRONICS LETTERS, 2018, 卷号: 54, 期号: 17, 页码: 1051-1052
作者: Kang, Wenwu; Zhang, Yunhua; Dong, Xiao; Kang, WW (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.

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收藏 | 浏览/下载：38/0 | 提交时间：2018/10/12

Radar Polarimetry Motion Estimation Electromagnetic Wave Scattering Time-frequency Analysis Object Detection Radar Signal Processing Polarimetric Mds Radar Observation Signature Identification Human Motions Social Security Operation Social Rescue Operation Polarimetric Microdoppler Signatures Motion-captured Dataset Carnegie Mellon University Motion Graphic Laboratory Feko Matlab Radar Scattering Calculation Time-frequency Diagram Hh Microdoppler Ka-band Radar Experiment

Gait-Based Gender Classification Using Mixed Conditional Random Field 期刊论文 OAI收割
IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics,, 2011, 卷号: 41, 期号: 5, 页码: 1429-1439
作者: Maodi Hu; Yunhong Wang; Zhaoxiang Zhang; De Zhang

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收藏 | 浏览/下载：16/0 | 提交时间：2017/02/09

Stance Index Gait Analysis Gender Classification Human Motion Markov Property Mixed Conditional Random Field (Crf) (mCrf) Shape Descriptor

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：63/0 | 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).

视角不变的人的行为分析与理解 学位论文 OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
张叶银

收藏 | 浏览/下载：51/0 | 提交时间：2015/09/02

视角不变运动特征人的行为识别时间序列分析 motion feature view invariant human action time series analysis

Contour-motion feature (CMF): A space-time approach for robust pedestrian detection 期刊论文 OAI收割
PATTERN RECOGNITION LETTERS, 2009, 卷号: 30, 期号: 2, 页码: 148-156
作者: Liu, Yazhou; Chen, Xilin; Yao, Hongxun; Cui, Xinyi; Liu, Chaoran

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收藏 | 浏览/下载：24/0 | 提交时间：2019/12/16

Contour-motion feature Space-time analysis Pedestrian detection Human activity analysis Event analysis 3D Haar filter

数字娱乐中的人体特征提取与运动分析研究 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, 2007
作者: 曾祥永

收藏 | 浏览/下载：108/0 | 提交时间：2015/09/02

计算机视觉特征提取人脸重建拳头检测背景分割运动分析人机交互数字娱乐 Computer Vision Features Extraction Face Reconstruction Fists Detection Background Segment Motion Analysis Computer Human Interaction Digital Entertainment

基于主轴的人的跟踪 学位论文 OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2004
胡敏

收藏 | 浏览/下载：43/0 | 提交时间：2015/09/02

人运动的视觉分析人的跟踪人的主轴基于主轴的人的跟踪基于主轴的多摄像机匹配 visual analysis of human motion people tracking principal axis of human body principal axis based people tracking principal

步态分析与识别 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, 2003
作者: 王亮

收藏 | 浏览/下载：137/0 | 提交时间：2015/09/02

生物特征识别步态识别视觉监控人的运动分析基于模型的跟踪 Biometrics gait recognition visual surveillance human motion analysis and model-based tracking

Silhouette analysis-based gait recognition for human identification 期刊论文 OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 卷号: 25, 期号: 12, 页码: 1505-1518
作者: Wang, L; Tan, T; Ning, HZ; Hu, WM

收藏 | 浏览/下载：125/0 | 提交时间：2015/11/08

human motion analysis biometrics gait recognition principal component analysis