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	任意手势的跟踪与识别技术研究学位论文 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, 2011 石磊收藏 \| 浏览/下载：83/0 \| 提交时间：2015/09/02 人机手势交互任意手势跟踪手势识别 SVM 隐马尔科夫模型 Gesture based Human Computer Interaction Arbitrary Hand-shape Tracking Hand Postures and Gestures Recognition Support Vector Machine Hidden Markov Model
	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：79/0 \| 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).
	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：39/0 \| 提交时间：2015/09/18 model-based human tracking motion model motion constraints initialization CONDENSATION Gaussian distribution
	Kinematics-based tracking of human walking in monocular video sequences 期刊论文 OAI收割 IMAGE AND VISION COMPUTING, 2004, 卷号: 22, 期号: 5, 页码: 429-441 作者: Ning, HZ; Tan, TN; Wang, L; Hu, WM 收藏 \| 浏览/下载：51/0 \| 提交时间：2015/09/18 kinematics-based tracking gait recognition human model
	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：156/0 \| 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：100/0 \| 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