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	Human Parsing Based Alignment with Multi-Task Learning for Occluded Person Re-Identification 会议论文 OAI收割 London, United Kingdom, United Kingdom, 2020.7.6-10 作者: Huang, Houjing; Chen, Xiaotang; Huang, Kaiqi \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/01/25 Person Re-identification, Partial, Occlusion, Human Parsing, Multi-task
	DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation 期刊论文 OAI收割 SENSORS, 2019, 卷号: 19, 期号: 5, 页码: 1-19 作者: Fu ML(付明亮) \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/03/09 6D pose estimation partial occlusion projection grouping correspondence evaluation
	Online fragments-based scale invariant electro-optic tracking with SIFT 期刊论文 OAI收割 OPTIK, 2015, 卷号: 126, 期号: 18, 页码: 1720-1725 作者: Cui, Xiongwen; Wu, Qingzhang; Zhou, Jin 收藏 \| 浏览/下载：18/0 \| 提交时间：2016/02/03 Object tracking Fragments-based SIFT MCC anti-projection Scale-invariant Partial occlusion
	Grassmann manifold based shape matching and retrieval under partial occlusions 会议论文 OAI收割 International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014 作者: Li CX(李晨曦); Shi ZL(史泽林); Liu YP(刘云鹏); Xu BS(徐保树) 收藏 \| 浏览/下载：25/0 \| 提交时间：2014/12/29 Grassmann manifold Partial shape matching contour matching partial occlusion affine invariant
	Vehicle detection and tracking in airborne videos by multi-motion layer analysis 期刊论文 OAI收割 machine vision and applications, 2012, 卷号: 23, 期号: 5, 页码: 921-935 作者: Cao, Xianbin; Lan, Jinhe; Yan, Pingkun; Li, Xuelong 收藏 \| 浏览/下载：27/0 \| 提交时间：2011/09/30 Vehicle detection Frame registration Feature tracking Partial occlusion Motion layer
	Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 In Video tracking detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field feature histogram of luminance is as observe vector and used posterior estimate. In this paper the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2010 IEEE.
	Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Wu C.; Sun H.-J.; Yang D. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 In Video tracking detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2009 SPIE.
	Partial occlusion detection of object boundary (EI CONFERENCE) 会议论文 OAI收割 2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009, May 5, 2009 - May 7, 2009, Singapore, Singapore 作者: Zhang J.; Zhang K.; Zhang K.; Zhang K.; Zhang K. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous especially when distinguishing it only from the object boundary. In this paper we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference) object boundary by moving it to a target object which is deformed and/or occluded. From the morphing processing sufficient information can be obtained and an accurate detection of occlusion is performed. By using of the proposed method the application scope of occlusion detection is expanded while other method cannot be performed which need color texture or motion information. The experiments performed on synthetic and real world images proved the satisfactory performance of the proposed method. 2009 IEEE.
	Spatial pyramid based histogram representation for visual tracking with partial occlusion 会议论文 OAI收割 Kunming, Yunnan, YT, China, November 23-25, 2009 作者: Lili Ma; Jinqiao Wang; Jing Liu; Hanqing Lu \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2017/02/20 Partial Occlusion Pyramid Tracking