×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
长春光学精密机械与物... [1]
内容类型
会议论文 [1]
发表日期
2006 [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共1条,第1-1条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Wang M.-J.
;
Wang Y.-J.
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2013/03/25
In order to match the intersectant targets' tab when these objects separate
a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate
target speed
target size and geometry shape
and different parameter corresponds to different influence coefficient
evaluate the integrated matching coefficient that every observation target corresponds to forecasted target
and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target
a new method of track forecast is proposed
firstly
Hough transform is used to the object's track before objects intersect
by this
the object's positions that the warp between forecasted location and observation location is large enough is eliminated
then least square method is used for track forecast by the remainder valid positions
and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate
the right identification probability of traditional least square method is 87.5%
and the right identification probability of fuzzy match by multi-parameters can attain 96%
the reliability improves in evidence.
©版权所有 ©2017 CSpace - Powered by
CSpace