CUED Publications database

Efficient bridging-based destination inference in object tracking

Ardeshiri, T and Ahmad, BI and Langdon, PM and Godsill, SJ (2016) Efficient bridging-based destination inference in object tracking. In: 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), -- to -- pp. 4406-4410..

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© 2017 IEEE. 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 equal to that of a nominal endpoint. This encapsulates the long term dependencies in the object trajectory as dictated by intent. Simulations using real data show that the notable reductions in computations achieved by the introduced bridging-based predictor does not impact the quality of the overall inference results.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div C > Engineering Design
Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 01 Aug 2017 02:17
Last Modified: 14 Nov 2019 02:32
DOI: 10.1109/ICASSP.2017.7952989