TY - GEN
T1 - Nonparametric Bayesian Methods and the Dependent Pitman-Yor Process for Modeling Evolution in Multiple Object Tracking
AU - Moraffah, Bahman
AU - Papandreou-Suppappola, Antonia
AU - Rangaswamy, Muralidhar
PY - 2019/7
Y1 - 2019/7
N2 - In this paper, we propose a family of dependent Pitman-Yor (DPY) processes to model the state prior for multiple object tracking. This process is shown to be more flexible and a better match than the dependent Dirichlet process in tracking a time-varying number of objects. The DPY model directly incorporates learning multiple parameters from correlated information. Integrated with a Dirichlet process mixture model, the overall approach estimates time dependent object cardinality, provides object labeling, and identifies object associated measurements. Using Markov chain Monte Carlo sampling methods, the performance of the DPY based approach is demonstrated and compared to the labeled multi Bernoulli tracker.
AB - In this paper, we propose a family of dependent Pitman-Yor (DPY) processes to model the state prior for multiple object tracking. This process is shown to be more flexible and a better match than the dependent Dirichlet process in tracking a time-varying number of objects. The DPY model directly incorporates learning multiple parameters from correlated information. Integrated with a Dirichlet process mixture model, the overall approach estimates time dependent object cardinality, provides object labeling, and identifies object associated measurements. Using Markov chain Monte Carlo sampling methods, the performance of the DPY based approach is demonstrated and compared to the labeled multi Bernoulli tracker.
KW - dependent Pitman-Yor process
KW - Dirichlet process mixture model
KW - Markov chain Monte Carlo sampling
KW - multiple object tracking
KW - nonparametric Bayesian method
UR - http://www.scopus.com/inward/record.url?scp=85081786732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081786732&partnerID=8YFLogxK
M3 - Conference contribution
T3 - FUSION 2019 - 22nd International Conference on Information Fusion
BT - FUSION 2019 - 22nd International Conference on Information Fusion
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Information Fusion, FUSION 2019
Y2 - 2 July 2019 through 5 July 2019
ER -