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» Extended Object Tracking Using Monte Carlo Methods
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TIP
2002
126views more  TIP 2002»
14 years 9 months ago
A generic approach to simultaneous tracking and verification in video
In this paper, a generic approach to simultaneous tracking and verification in video data is presented. The approach is based on posterior density estimation using sequential Monte...
Baoxin Li, Rama Chellappa
92
Voted
CVPR
2004
IEEE
15 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
81
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Video object tracking with differential Structural SIMilarity index
The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared ...
Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihay...
FGR
2011
IEEE
263views Biometrics» more  FGR 2011»
14 years 28 days ago
Exploiting long-term observations for track creation and deletion in online multi-face tracking
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
Stefan Duffner, Jean-Marc Odobez
BMVC
2000
14 years 10 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green