Spider monkey optimisation assisted particle filter for robust object tracking
Particle filters (PFs) are sequential Monte Carlo methods that use particle representation of state‐space model to implement the recursive Bayesian filter for non‐linear and non‐Gaussian systems. Owing to this property, PFs have been extensively used for object tracking in recent years. Although PFs...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-04-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2016.0201 |