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» A Linear Programming Approach for Multiple Object Tracking
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ICIP
2007
IEEE
14 years 9 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
DAGM
2003
Springer
14 years 27 days ago
Color-Based Object Tracking in Multi-camera Environments
This paper presents a multi-view tracker, meant to operate in smart rooms that are equipped with multiple cameras. The cameras are assumed to be calibrated3 . In particular, we dem...
Katja Nummiaro, Esther Koller-Meier, Tomás ...
CVPR
2010
IEEE
14 years 3 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...
IJCV
2008
188views more  IJCV 2008»
13 years 7 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
ICRA
1995
IEEE
167views Robotics» more  ICRA 1995»
13 years 11 months ago
Modeling of Linear Objects Considering Bend, Twist, and Extensional Deformations
A systematic approach to the modeling of deformable ne linear objects is presented. Various deformable objects are manipulated in many manufacturing processes. Deformation of the...
Hidefumi Wakamatsu, Shinichi Hirai, Kazuaki Iwata