Efficient bridging-based destination inference in object tracking

@article{Ardeshiri2017EfficientBD,
  title={Efficient bridging-based destination inference in object tracking},
  author={Tohid Ardeshiri and Bashar I. Ahmad and Patrick Langdon and Simon J. Godsill},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={4406-4410}
}
This paper proposes a probabilistic intent inference approach that is significantly more computationally efficient than other existing bridging-distributions-based predictors. It sequentially determines the probabilities of all possible destinations of a tracked object, whose motion is modelled by a Markov chain with the distribution of its terminal state… CONTINUE READING