IM3HT algorithm: A joint formulation of IMM and MHT for multitarget Tracking

ECC 1997 - European Control Conference

Volumn , Issue , 1997, Pages 2979-2984

  Torelli, R ^a   Graziano, A ^b   Farina, A ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b ALENIA SPAZIO   (Italy)

Author keywords

Adaptive; Estimation; Tracking

Indexed keywords

ESTIMATION; SURFACE DISCHARGES;

ADAPTIVE; FILTERING TECHNIQUE; INTERACTING MULTIPLE MODEL; MULTI-TARGET TRACKING; MULTIPLE HYPOTHESIS TRACKING; PERFORMANCE COMPARISON; THEORETICAL FORMULATION; TRACKING PERFORMANCE;

CONTROL ENGINEERING;

EID: 84949086139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.1997.7082564     Document Type: Conference Paper

References (10)

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3. Blackman S. S., Multiple target tracking with radar applications, Artech House, 1986
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5. Graziano A., Miglioli R. & Farina A., Multiple hypothesis tracking vs. Kalman filter with nearest neighbor correlation. Performance comparison, AGARD Conference Proceedings no557, Lisbon, May 1995, pp. 25/1-25/11
6. Bar-Shalom Y., Chang K. C. & Blom H. A. P., Automatic track formation in clutter with a recursive algorithm, Multitarget-Multisensor Tracking: Advanced applications, pp. 25-42. (Ed.) Y. Bar-Shalom - Artech House, 1990
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9. Torelli R., Filtraggio stocastico retrospettivo a modelli interattivi: applicazione a sistemi di sorveglianza con scenari radar, Thesis in electronic engineering (in Italian), "La Sapienza" University of Rome, October 1996
10. M. De Feo, A. Graziano, R. Miglioli, A. Farina, IMMJPDA vs. Kalman filter with NN correlation: performance comparison, Submitted for publication to IEE Proceedings Radar, Sonar and Navigation, 1996