中国科学院机构知识库网格系统: 检索

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	Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文 OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369 作者: Rui Jiang; Ruixiang Zhu; Hu Su; Yinlin Li; Yuan Xie \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/04/23 Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding
	Real-time human segmentation by BowtieNet and a SLAM-based human AR system 期刊论文 OAI收割 Virtual Reality & Intelligent Hardware, 2019, 卷号: 1, 期号: 5, 页码: 511—524 作者: Zhao,Xiaomei; Tang,Fulin; Wu,Yihong \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2020/05/07 Augmented Reality Moving Object Human Segmentation Reconstruction And Tracking Camera Pose Human segmentation
	High-Performance Video Condensation System 期刊论文 OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 7, 页码: 1113-1124 作者: Zhu, Jianqing; Feng, Shikun; Yi, Dong; Liao, Shengcai; Lei, Zhen 收藏 \| 浏览/下载：27/0 \| 提交时间：2015/09/23 GPU acceleration moving object segmentation online background generation video condensation system video storage video surveillance
	A simple and fast moving object segmentation based on H.264 compressed domain information (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Computational and Information Sciences, ICCIS 2012, August 17, 2012 - August 19, 2012, Chongqing, China 作者: Chen X.; Chen X.; Chen X.; Sun L. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 The paper presents a simple and fast approach for moving object segmentation based on H.264 compressed domain information for the application of indoor video surveillance with static camera. Due to the characteristics of indoor video surveillance the proposed method of segmentation avoids complicated background model like Gaussian Mixture background model. On the contrary it chooses some simple information like the type of Macroblock etc.. Experimental results of several specific H.264 compressed video sequences demonstrate the good segmentation quality of the proposed approach. 2012 IEEE.
	Segmenting moving objects from a freely moving camera with an effective segmentation cue 期刊论文 OAI收割 MEASUREMENT SCIENCE & TECHNOLOGY, 2011, 卷号: 22, 期号: 2 作者: Wu, Mingjun; Peng, Xianrong; Zhang, Qiheng 收藏 \| 浏览/下载：30/0 \| 提交时间：2015/09/21 moving object segmentation segmentation cue conditional random field moving camera
	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.
	Modeling background and segmenting moving objects from compressed video 期刊论文 iSwitch采集 Ieee transactions on circuits and systems for video technology, 2008, 卷号: 18, 期号: 5, 页码: 670-681 作者: Wang, Weiqiang; Yang, Jie; Gao, Wen 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/05/10 Background models Discrete cosine transform (dct) Moving object segmentation Video surveillance
	Modeling background and segmenting moving objects from compressed video 期刊论文 OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2008, 卷号: 18, 期号: 5, 页码: 670-681 作者: Wang, Weiqiang; Yang, Jie; Gao, Wen \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/16 background models discrete cosine transform (DCT) moving object segmentation video surveillance
	视频图像运动目标分割研究学位论文 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, 2006 作者: 王嘉收藏 \| 浏览/下载：39/0 \| 提交时间：2015/09/02 视频分析运动目标分割全局运动运动分层立体视觉立体全局运动模型智能交通 Video analysis Moving object segmentation Global motion Motion layer Sterevision Stereo global motion model Intelligent traffic system