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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [1]
光电技术研究所 [1]
上海硅酸盐研究所 [1]
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OAI收割 [3]
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会议论文 [2]
期刊论文 [1]
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2019 [1]
2018 [1]
2009 [1]
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Materials ... [1]
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Target tracking based on hierarchical feature fusion of residual neural network
会议论文
OAI收割
Shanghai, China, August 23, 2019 - August 25, 2019
作者:
Jin, Hui
;
Li, XinYang
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/05/06
Target Tracking
Residual Neural Network
feature fusion
addition layer
OPE
Effect of MoSi2 addition on ablation behavior of ZrC coating fabricated by vacuum plasma spray
期刊论文
OAI收割
CERAMICS INTERNATIONAL, 2018, 卷号: 44, 期号: 8, 页码: 8946, 8954
作者:
Liu, Tao
;
Niu, Yaran
;
Li, Chong
;
Zhao, Jun
;
Zhang, Jimei
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2018/12/28
ZrC coating
MoSi2 addition
Ablation resistance
Oxidation layer
Vacuum plasma spray
Layered fast correlation tracking algorithm combined with target feature (EI CONFERENCE)
会议论文
OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
作者:
Guo L.-H.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
A new correlation tracking algorithm
layered fast correlation tracking algorithm combined with target feature
is proposed for target tracking in image sequences. Based on traditional correlation tracking algorithm
according to resolution of real-time image
the proposed algorithm chooses the designated layer image. At the same time the proposed algorithm uses a new search method combined with the target features to predict matching position
which can improve the matching precision and reduce computational complexity. In addition
the experimental results indicate that the proposed algorithm can overcome the influence of gray mutation and satisfy the requirement of real-time. 2009 SPIE.