A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization.
Kyuchang KangChangseok BaeHenry Wing Fung YeungYuk Ying ChungPublished in: Appl. Soft Comput. (2018)
Keyphrases
- gravitational search algorithm
- swarm intelligence
- object tracking
- ant colony optimization
- multiobjective optimization
- optimization methods
- particle filter
- appearance model
- image sequences
- computational intelligence
- mean shift
- particle swarm optimization pso
- particle swarm optimization
- swarm robotics
- video sequences
- optimization algorithm
- evolutionary computation
- video surveillance
- moving objects
- computer vision
- multi objective
- sparse representation
- optimization problems
- global optimization
- parameter identification
- stability analysis
- metaheuristic
- optimization method
- image features
- three dimensional
- traveling salesman problem
- combinatorial optimization
- convergence rate
- differential evolution
- feature extraction
- search algorithm
- machine learning
- image classification