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自动化研究所 [9]
长春光学精密机械与物... [7]
计算技术研究所 [1]
中国科学院大学 [1]
沈阳自动化研究所 [1]
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OAI收割 [18]
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期刊论文 [8]
会议论文 [7]
学位论文 [4]
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2023 [1]
2019 [2]
2018 [1]
2015 [1]
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2012 [1]
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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
3D Scanning of High Dynamic Scenes Using an RGB-D Sensor and an IMU on a Mobile Device
期刊论文
OAI收割
IEEE Access, 2019, 期号: 7, 页码: 24057-24070
作者:
Liu, Yangdong
;
Gao, Wei
;
Hu, Zhanyi
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2019/05/08
Dynamic Scenes
Background Segmentation
Rgb-d
Mobile Device
Background Subtraction With Real-Time Semantic Segmentation
期刊论文
OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 153869-153884
作者:
D.D.Zeng
;
X.Chen
;
M.Zhu
;
M.Goesele
;
A.Kuijper
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/08/24
Background subtraction,foreground object detection,semantic,segmentation,video surveillance,density-estimation,Computer Science,Engineering,Telecommunications
Real-time segmentation of various insulators using generative adversarial networks
期刊论文
OAI收割
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者:
Chang, Wenkai
;
Yang, Guodong
;
Yu, Junzhi
;
Liang, Zize
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/12/16
image segmentation
insulators
neural nets
power engineering computing
real-time pixel-level segmentation
generative adversarial networks
insulator segmentation algorithm
cluttered background
artificial thresholds
compact end-to-end neural network
visual saliency map
proposed two-stage training
segmentation quality
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:26/0
  |  
提交时间:2015/09/23
GPU acceleration
moving object segmentation
online background generation
video condensation system
video storage
video surveillance
基于局部感知的若干视觉问题研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013
作者:
汪凌峰
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2015/09/02
局部感知
视觉目标跟踪
图像超分辨率
水平集
医学图像分割
背景建模
local perception
visual target tracking
image super-resolution
level-set
medical image segmentation
background subtraction
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.
Conditional random field for text segmentation from images with complex background
期刊论文
OAI收割
PATTERN RECOGNITION LETTERS, 2010, 卷号: 31, 期号: 14, 页码: 2295-2308
作者:
Li, Minhua
;
Bai, Meng
;
Wang, Chunheng
;
Xiao, Baihua
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2015/08/12
Conditional random field (CRF)
Text segmentation
Complex background
Local information
Contextual label information
基于双目视觉的背景分割技术研究
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, 2010
时岭
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2015/09/02
三维重建
立体匹配
背景分割
背景建模
运动捕捉
3D reconstruction
stereo vision
background segmentation
background modeling
motion capture
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.