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成都山地灾害与环境研... [1]
长春光学精密机械与物... [1]
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Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China
期刊论文
JOURNAL OF ADVANCED TRANSPORTATION, 2020, 卷号: 2020, 页码: 4795830
作者:
He Bing
;
Kong Bo
;
Yin Ling
;
Wu Qin
;
Hu Jinxing
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  |  
浏览/下载:49/0
  |  
提交时间:2020/09/25
Graph-Based Flow
Crowd counting considering network flow constraints in videos
期刊论文
IET IMAGE PROCESSING, 2018, 卷号: 12, 页码: 11-19
作者:
Gao, Liqing
;
Wang, Yanzhang
;
Ye, Xin
;
Wang, Jian
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
video surveillance
pedestrians
quadratic programming
image segmentation
regression analysis
directed graphs
network flow constraint
security threat probability
pedestrians
quadratic programming model
crowd counting accuracy improvement
frame foreground segmentation
regression-based map
low-level features
directed graph
integer flow
digraph
QP problem
people counting
ultramodern group-based regression counting approach
intelligent video surveillance systems
A video synthesis method for flow patterns (EI CONFERENCE)
会议论文
2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010, September 24, 2010 - September 26, 2010, Beijing, China
Chen J.
;
Liu J.
;
Li J.
;
Kong D.
;
Yu D.
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浏览/下载:16/0
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提交时间:2013/03/25
This paper presents a new video synthesis method for flow patterns. We can use it to synthesize video of natural phenomena that exhibit continuous flow patterns. It is based on flow-based video synthesis algorithm
and combines partial ideas of graph cuts algorithm. This algorithm can process input videos of natural phenomena of flow patterns (e.g. rivers
flames and waterfalls)
and synthesize more realistic and active seamless video of arbitrary length than other algorithms. It is simple to implement. The results show that our method can produce satisfactory effects based on user inputs. 2010 IEEE.
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