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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [2]
长春光学精密机械与物... [2]
自动化研究所 [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [6]
内容类型
会议论文 [3]
期刊论文 [2]
学位论文 [1]
发表日期
2022 [1]
2020 [2]
2013 [1]
2010 [2]
学科主题
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Correlation filter tracking algorithms against interference of similar object and fast motion
会议论文
OAI收割
ELECTR NETWORK, 2022-11-24
作者:
Ren, Sixi
;
Tian, Yan
;
Xu, Zhaohui
;
Guo, Min
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/06/19
object tracking
correlation filter
feature extraction
feature fusion
trajectory association
Association Rule Mining Method Based on the Similarity Metric of Tuple-Relation in Indoor Environment
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 52041-52051
作者:
Mou, Naixia
;
Wang, Hongen
;
Zhang, Hengcai
;
Fu, Xin
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/05/19
Association rule
data mining
indoor trajectory
network embedding
Association Rule Mining Method Based on the Similarity Metric of Tuple-Relation in Indoor Environment
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 52041-52051
作者:
Mou, Naixia
;
Wang, Hongen
;
Zhang, Hengcai
;
Fu, Xin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/05/19
Association rule
data mining
indoor trajectory
network embedding
面向智能视频监控的异常检测与摘要技术研究
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:
祝晓斌
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2015/09/02
视频浓缩
监控网络
轨迹匹配
拥挤场景
异常检测
智能监控
社会力模型
稀疏编码
video synopsis
camera-network
trajectory association
crowded scenario
anomaly detection
video surveillance
social force model
sparse coding
The research for missile bullets' multiple targets of opto-electronic theodolites (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
Wei Z.
;
Liu Y.-H.
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2013/03/25
The system of opto-electronic theodolites for measuring missile bullet provides parameter of missile bullet trajectory and affords primacy scientific data for completing campaign assign and obtaining ideal result of destroy. This article researches extraction arithmetic for missile bullet' multiple targets. Above all
enactment threshold of area
acquire middle axes of target by adopting Hough transforming and approximating and calculate obliquity angles of targets. In course of matching
accomplish missile bullet's multiple targets data association of serial images by making use of improving eigenfunction and achieve extraction of missile bullet's multiple targets after obtaining center position of targets
adopting OSTU method change numeral image into binary image
according to area of target
forecast searching region of target matching by using Kalman filter
area of targets
and abstract separately center position of targets and area of targets
judge conglutination and obstruct
then separate targets in term of wave crest and trough's variety of grey histogram of conglutination region
grey average of target and obliquity angles of targets. The experimental result shows that right ratio of the extraction targets reach to 90%. The article use correct mathematical model and reasonable arithmetic and obtain effectively parameter of missile bullet' multiple targets. 2010 IEEE.
at the same time
obtain grey average of target
mark target region
An electro-optical tracking method in target separation based on fuzzy clustering association rules (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
Guo T.-J.
;
Gao H.-B.
;
Zhang S.-M.
;
Wu Y.-J.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation
the error correcting value of the theoretical trajectory is obtained by the theoretical trajectory correcting algorithm. In the phase of target separation
the theoretical trajectory of the target is corrected by the error correcting value firstly
and then the fuzzy clustering association algorithm is applied to calculate the similarity between the measuring data of the target from sensors and the corrected theoretical trajectory. The similarity helps to identify whether the measured data is from the real target or not. Experimental results show that the authenticity of the target can be determined effectively. The identified results can be used as the decision-making basis of the servo sub-system and TV trackers
which can improve the continuous tracking probability of the electro-optical tracking system in the target separation. 2010 IEEE.