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» Adaptive Object Tracking using Particle Swarm Optimization
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CEC
2010
IEEE
14 years 7 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
ICCV
2007
IEEE
15 years 11 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
ICMCS
2005
IEEE
98views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Auto cropping for digital photographs
In this paper, we propose an effective approach to the nearly untouched problem, still photograph auto cropping, which is one of the important features to automatically enhance ph...
Mingju Zhang, Lei Zhang, Yanfeng Sun, Lin Feng, We...
ICCV
2005
IEEE
15 years 11 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
CVPR
2005
IEEE
15 years 11 months ago
Tracking Multiple Objects through Occlusions
We present an approach for tracking varying number of objects through both temporally and spatially significant occlusions. Our method builds on the idea of object permanence to r...
Yan Huang, Irfan A. Essa