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	Robust orientation estimate via inertial guided visual sample consensus 期刊论文 OAI收割 Personal and Ubiquitous Computing, 2018, 卷号: 22, 期号: 2, 页码: 259–274 作者: Zhang YL(张吟龙); Li Y(李杨); Liang W(梁炜); Tan JD(谈金东); An HB(安海博) \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2017/08/20 Orientation estimate Wearable sensors Inertial measurement unit Monocular camera Sample and consensus
	Orientation estimation using visual and inertial sensors 会议论文 OAI收割 2015 IEEE International Conference on Information and Automation, Lijiang, China, Augest 8-10, 2015 作者: Zhang YL(张吟龙); Liang W(梁炜); Li Y(李杨); An HB(安海博); Tan JD(谈金东) 收藏 \| 浏览/下载：25/0 \| 提交时间：2015/12/19 Orientation Estimate Inertial Measurement Unit Monocular Camera Nearest Neighbor locality constraint
	Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Bai X.-G.; Dai M. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first we get the weight image from the target candidate region. Then we analyze the differences between the object and background. According to that the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix we can estimate the width height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.