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» Adaptive Object Tracking using Particle Swarm Optimization
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ICIP
2009
IEEE
14 years 9 months ago
Multi-object tracking in non-stationary video using bacterial foraging swarms
One of the key problems in the field of image processing is object tracking in video. Multiple objects, occlusion, and non-stationary video are some of the challenges that one may...
Hoang Thanh Nguyen, Bir Bhanu
96
Voted
CEC
2010
IEEE
15 years 23 days ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
111
Voted
ICASSP
2011
IEEE
14 years 3 months ago
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
Hao Chen, Yu Gong, Xia Hong
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 22 days ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...
190
Voted
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...