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Correspondence problem
Known as:
Correspondence
, Data association
The correspondence problem refers to the problem of ascertaining which parts of one image correspond to which parts of another image, where…
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Related topics
Related topics
22 relations
Binocular disparity
Bundle adjustment
Color mapping
Computer vision
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Broader (1)
Stereoscopy
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Cross-community sensing and mining
Bin Guo
,
Zhiwen Yu
,
Daqing Zhang
,
Xingshe Zhou
IEEE Communications Magazine
2014
Corpus ID: 7279407
With the developments in information and communications technology (ICT), people are involving in and connecting via various…
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Highly Cited
2005
Highly Cited
2005
Laser-based detection and tracking of multiple people in crowds q
J. Cui
,
H. Zha
,
Huijing Zhao
,
R. Shibasaki
2005
Corpus ID: 16631046
Laser-based people tracking systems have been developed for mobile robotic, and intelligent surveillance areas. Existing systems…
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Highly Cited
2005
Highly Cited
2005
Real-time interactively distributed multi-object tracking using a magnetic-inertia potential model
Wei Qu
,
D. Schonfeld
,
M. Mohamed
Tenth IEEE International Conference on Computer…
2005
Corpus ID: 1968968
This paper breaks with the common practice of using a joint state space representation and performing the joint data association…
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2005
2005
Vehicle fingerprinting for reacquisition & tracking in videos
Yanlin Guo
,
S. Hsu
,
Ying Shan
,
H. Sawhney
,
Rakesh Kumar
Computer Vision and Pattern Recognition
2005
Corpus ID: 14479876
Visual recognition of objects through multiple observations is an important component of object tracking. We address the problem…
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Highly Cited
2004
Highly Cited
2004
Split and merge data association filter for dense multi-target tracking
Auguste Genovesio
,
Jean-Christophe Olivo-Marin
Proceedings of the 17th International Conference…
2004
Corpus ID: 9633276
Bayesian target tracking methods consist in filtering successive measurements coming from a detector. In the presence of clutter…
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Highly Cited
2002
Highly Cited
2002
Interacting multiple model joint probabilistic data association avoiding track coalescence
H. Blom
,
E. A. Bloem
Proceedings of the 41st IEEE Conference on…
2002
Corpus ID: 7145687
For the problem of tracking multiple targets the joint probabilistic data association (JPDA) filter approach has shown to be very…
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Highly Cited
2000
Highly Cited
2000
Markov chain Monte Carlo data association for target tracking
N. Bergman
,
A. Doucet
IEEE International Conference on Acoustics…
2000
Corpus ID: 46016994
We consider the estimation of the state of a discrete-time Markov process using observations which are sets of measurements from…
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1997
1997
Target tracking with retrodicted discrete probabilities
O. E. Drummond
Optics & Photonics
1997
Corpus ID: 61072490
The concept of retrodiction of discrete probabilities is exploited in this paper to provide alternative data association…
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Highly Cited
1989
Highly Cited
1989
Neural solution to the multitarget tracking data association problem
D. Sengupta
,
R. Iltis
1989
Corpus ID: 61035256
The problem of tracking multiple targets in the presence of clutter is addressed. The joint probabilistic data association (JPDA…
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Review
1970
Review
1970
Sparsity-Directed Decomposition for Gaussian Elimination on Matrices
E. C. Ogbuobiri
,
W. Tinney
,
Senior Member
,
John W. Walker
1970
Corpus ID: 16450785
This is a concise critical survey of the theory and practice relating to the ordered Gaussian elimination on sparse systems. A…
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