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ISCAS
2003
IEEE
133views Hardware» more  ISCAS 2003»
15 years 2 months ago
A mutual information approach to articulated object tracking
A mutual information based articulated object tracking scheme is proposed in this paper. Articulation constraints are introduced using a kinematic model. Further constraints are i...
Evangelos Loutas, Nikos Nikolaidis, Ioannis Pitas
73
Voted
CDC
2008
IEEE
200views Control Systems» more  CDC 2008»
15 years 4 months ago
Maximum-likelihood Kalman filtering for switching discrete-time linear systems
— State estimation is addressed for a class of discrete-time systems that may switch among different modes taken from a finite set. The system and measurement equations of each ...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
JUCS
2010
265views more  JUCS 2010»
14 years 8 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
93
Voted
EC
2008
164views ECommerce» more  EC 2008»
14 years 9 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
ICPR
2008
IEEE
15 years 10 months ago
Temporal difference learning to detect unsafe system states
Huazhong Ning, Thomas S. Huang, Wei Xu, Yihong Gon...