Multitarget tracking with the IMM and Bayesian networks: Empirical studies

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4385, Issue , 2001, Pages 47-57

  Hautaniemi, S K ^a   Saarinen, J P P ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Bayesian networks; Multitarget multisensor tracking; Type identification

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION;

BAYESIAN NETWORKS; MULTITARGET MULTISENSOR TRACKING;

SENSOR DATA FUSION;

EID: 0034929691     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.421121     Document Type: Conference Paper

References (9)

1. Target identification with dynamic hybrid Bayesian networks