A bat-inspired particle filter for visual tracking

@article{Gao2016ABP,
  title={A bat-inspired particle filter for visual tracking},
  author={Mingliang Gao and Yuan-Ru Zang and Shu-Zhi Zhao and Zhao Li},
  journal={2016 Chinese Control and Decision Conference (CCDC)},
  year={2016},
  pages={3810-3815}
}
Particle filters perform the nonlinear estimation and have been proven to be a powerful tool in solving visual tracking problems. However, the problem of sample impoverishment is still a drawback of particle filter. To solve this problem, a bat-inspired particle filter is proposed in this work. The particles in the particle filter are optimized using a new biologically inspired optimization algorithm, namely bat algorithm before re-sampling. The meaningful particles are increased and they can… CONTINUE READING