机构

• 自动化研究所 [9]
• 长春光学精密机械与物... [1]

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• OAI收割 [10]

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• 学位论文 [6]
• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2012 [1]
• 2011 [2]
• 2010 [1]
• 2007 [1]
• 2004 [2]
• 2003 [3]
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浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 人体运动跟踪传感器设计与标定技术研究 学位论文  OAI收割 工程硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 李文明 收藏  |  浏览/下载：98/0  |  提交时间：2015/09/02 惯性跟踪  虚拟现实  人机交互  人体运动跟踪  姿态融合  inertial tracking  virtual reality  gesture fusion  human computer interaction  human motion tracking   面向增强现实的人体运动跟踪定位系统技术 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:  杨浩 收藏  |  浏览/下载：114/0  |  提交时间：2015/09/02 增强现实  人体运动跟踪  相机-惯性测量单元相对位姿标定  扩展卡尔曼滤波器  无迹卡尔曼滤波器  Augmented Reality  human motion tracking  Camera-IMU relative pose calibration  Extended Kalman Filter  Unscented Kalman Filter   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：56/0  |  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).   Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking 期刊论文  OAI收割 OPTICAL ENGINEERING, 2010, 卷号: 49, 期号: 1 作者:  Wang, Xiangyang;  Wan, Wanggen;  Zhang, Xiaoqin;  Yu, Xiaoqing 收藏  |  浏览/下载：14/0  |  提交时间：2015/11/08 human motion tracking  particle filter  annealed particle filter  particle swarm optimization   单目视频中的人体运动跟踪 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, 2007 吴倩 收藏  |  浏览/下载：68/0  |  提交时间：2015/09/02 人体模型  人体姿态估计  人体运动跟踪  human model  human pose detection  human motion tracking   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：38/0  |  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   People tracking based on motion model and motion constraints with automatic initialization 期刊论文  OAI收割 PATTERN RECOGNITION, 2004, 卷号: 37, 期号: 7, 页码: 1423-1440 作者:  Ning, HZ;  Tan, TN;  Wang, L;  Hu, WM 收藏  |  浏览/下载：15/0  |  提交时间：2015/09/18 model-based human tracking  motion model  motion constraints  initialization  CONDENSATION  Gaussian distribution   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：129/0  |  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   基于模型的行人跟踪 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, 2003 宁华中 收藏  |  浏览/下载：69/0  |  提交时间：2015/09/02 基于模型的行人跟踪  人体模型  运动模型  运动约束  基于动力学的跟踪  粒子滤波  动态模型  modcl-bascd tracking of walking people  human body model  motion model  motion constraints  kinematics-based tracking  particle filte   Recent developments in human motion analysis 期刊论文  OAI收割 PATTERN RECOGNITION, 2003, 卷号: 36, 期号: 3, 页码: 585-601 作者:  Wang, LA;  Hu, WM;  Tan, TN 收藏  |  浏览/下载：41/0  |  提交时间：2015/11/08 human motion analysis  detection  tracking  Behavior understanding  semantic description