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在“
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命中:
689
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条
1.
Online
multi
-
object
tracking
via robust collaborative model and sample selection
作者:
Mohamed A. Naiel
a
;
m_naiel@ece.concordia.ca
;
M. Omair Ahmad
;
a
;
omair@ece.concordia.ca
;
M.N.S. Swamy
a
;
swamy@ece.concordia.ca
;
Jongwoo Lim
b
;
jlim@hanyang.ac.kr
;
Ming-Hsuan Yang
c
;
mhyang@ucmerced.edu
关键词:
Multi
-
object
tracking
;
Particle filter
;
Collaborative model
;
Sample selection
;
Sparse representation
刊名:Computer Vision and Image Understanding
出版年:2017
2.
Preference adjustable
multi
-
object
ive NMPC: An unreachable prioritized point
tracking
method
作者:
Huirong Zhao
a
;
b
;
230129063@seu.edu.cn
;
Jiong Shen
a
;
shenj@seu.edu.cn
;
Yiguo Li
a
;
lyg@seu.edu.cn
;
Joseph Bentsman
b
;
jbentsma@illinois.edu
关键词:
Multi
-
object
ive
;
Predictive control
;
Priority
;
Optimization
;
Pareto
;
Stability
刊名:ISA Transactions
出版年:2017
3.
A
multi
-
object
ive evolutionary algorithm guided by directed search for dynamic scheduling
作者:
Du-Juan Wang
a
;
Feng Liu
b
;
Yaochu Jin
a
;
c
;
yaochu.jin@surrey.ac.uk
关键词:
Dynamic scheduling
;
Dynamic evolutionary
multi
-
object
ive optimization
;
Directed search strategy
;
Historical information
;
Prediction
刊名:Computers & Operations Research
出版年:2017
4.
Multi
-
object
ive iterative learning control using convex optimization
作者:
Tong Duy Son
;
Tong.DuySon@kuleuven.be
;
Goele Pipeleers
Goele.Pipeleers@kuleuven.be
;
Jan Swevers
Jan.Swevers@kuleuven.be
关键词:
Iterative learning control
;
H&infin
;
H&infin
;
control
;
Multi
-
object
ive control
;
Convex optimization
刊名:European Journal of Control
出版年:2017
5.
Clustering for filtering:
Multi
-
object
detection and estimation using
multi
ple/massive sensors
作者:
Tiancheng Li
a
;
b
;
t.c.li@usal.es
;
tiancheng.li1985@gmail.com
;
Juan M. Corchado
a
;
c
;
corchado@usal.es
;
Shudong Sun
b
;
sdsun@nwpu.eud.cn
;
Javier Bajo
d
;
jbajo@fi.upm.es
关键词:
Target detection
;
Object
recognition
;
Filtering
;
Tracking
;
Sensor fusion
刊名:Information Sciences
出版年:2017
6.
Precision laser
tracking
servo control system for moving target position measurement
作者:
Yang Juqing
a
;
b
Author Vitae
;
Wang Dayong
a
;
Zhou Weihu
b
;
zhouweihu@aoe.ac.cn
Author Vitae
关键词:
Dynamic trajectory
;
Position measurement
;
Tracking
servo control
;
Fuzzy PID control
;
Laser tracker
刊名:Optik - International Journal for Light and Electron Optics
出版年:2017
7.
Multi
-
object
tracking
with inter-feedback between detection and
tracking
作者:
Shu Tian
a
;
b
;
tshu23@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Fei Yuan
b
;
fei.yuan@ia.ac.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Gui-Song Xia
c
;
guisong.xia@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Tracking
-by-detection method
;
Feedback
;
Real-time
;
Multi
-
object
tracking
刊名:Neurocomputing
出版年:2016
8.
Online
multi
-
object
tracking
by detection based on generative appearance models
作者:
Dorra Riahi
;
dorra.riahi@polymtl.ca" class="auth_mail" title="E-mail the corresponding author
;
Guillaume-Alexandre Bilodeau
gabilodeau@polymtl.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Multi
ple
object
tracking
;
Data association
;
Tracking
by detection
;
Sparse appearance model
;
Multi
ple features
刊名:Computer Vision and Image Understanding
出版年:2016
9.
Restricted set classification: Who is there?
作者:
Ludmila I. Kuncheva
a
;
l.i.kuncheva@bangor.ac.uk
Author Vitae
;
Juan J. Rodrí
;
guez
b
;
jjrodriguez@ubu.es
Author Vitae
;
Aaron S. Jackson
c
;
aaron.jackson@nottingham.ac.uk
Author Vitae
关键词:
Pattern recognition
;
Object
classification
;
Restricted set classification
;
Compound decision problem
;
Chess pieces classification
刊名:Pattern Recognition
出版年:2017
10.
Multi
-
object
tracking
via discriminative appearance modeling
作者:
Shucheng Huang
;
schuang2015@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Shuai Jiang
;
Xia Zhu
关键词:
Multi
-
object
traking
;
Multi
ple hypotheses
tracking
;
Metric learning
;
Multi
-cue fusion
;
Appearance modeling
刊名:Computer Vision and Image Understanding
出版年:2016
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