Tracking analysis of the NLMF algorithm in the presence of both random and cyclic nonstationarities.
Muhammad MoinuddinAzzedine ZerguineAsrar U. H. SheikhPublished in: ISSPA (2005)
Keyphrases
- experimental evaluation
- optimization algorithm
- improved algorithm
- learning algorithm
- detection algorithm
- cost function
- search space
- dynamic programming
- target tracking
- k means
- randomly generated
- kalman filter
- segmentation algorithm
- preprocessing
- np hard
- computational complexity
- times faster
- high accuracy
- matching algorithm
- motion segmentation
- real time
- particle swarm optimization
- simulated annealing
- significant improvement
- tracking of multiple objects
- clustering method
- input data
- state space
- probabilistic model
- computational cost
- data analysis
- optimal solution
- objective function
- similarity measure