Performance analysis of the Probabilistic Multi-hypothesis Tracking algorithm on the SEABAR data sets.
Christian G. HempelJason PachecoPublished in: FUSION (2009)
Keyphrases
- data sets
- experimental evaluation
- computational complexity
- dynamic programming
- benchmark data sets
- times faster
- cost function
- bayesian networks
- optimal solution
- learning algorithm
- search space
- objective function
- target tracking
- optimization algorithm
- k means
- real time
- preprocessing
- probabilistic model
- recognition algorithm
- similarity measure
- bayesian framework
- data streams
- moving target
- synthetic and real world data sets
- detection algorithm
- generative model
- simulated annealing
- computational cost
- np hard