Algorithm design for parallel implementation of the SMC-PHD filter
An algorithmic framework for parallel SMC-PHD filtering is proposed. All the main calculations of the filter are unbiasedly paralleled. The parallelization obtains theoretically the same result as the serial implementation. Considerable speed-up is gained.
parallelization multi-target tracking particle filter probability hypothesis density filter