Multiple sensor multiple object tracking with GMPHD filter

FUSION 2007 - 2007 10th International Conference on Information Fusion

Volumn , Issue , 2007, Pages

  Pham, Nam Trung ^a   Huang, Weimin ^a   Ong, S H ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Bearing and range tracking; Gaussian mixture probability hypothesis density; Random finite set; Speaker tracking

Indexed keywords

FUSION REACTIONS; INFORMATION FUSION; NUCLEAR PHYSICS; PROBABILITY; SENSOR DATA FUSION; SENSORS; WAVE FILTERS;

BEARING AND RANGE TRACKING; DATA ASSOCIATION PROBLEMS; GAUSSIAN MIXTURE; GAUSSIAN MIXTURE PROBABILITY HYPOTHESIS DENSITY; INTERNATIONAL CONFERENCES; MULTI OBJECTS; MULTI SENSORS; MULTIPLE OBJECT TRACKING; MULTIPLE SENSORS; PROBABILITY HYPOTHESIS DENSITY FILTER; RANDOM FINITE SET; RANGE TRACKING; SPEAKER TRACKING; TRACKING OBJECTS;

DATA FUSION;

EID: 50149111349     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2007.4408087     Document Type: Conference Paper

References (16)

1. G. Wang, R. Rabenstein, N. Strobel, and S. Spors, "Object localization by joint audio-video signal processing," in Vision Modelling and Visualization, Germany, 2000.
2. P. J. Escamilla-Ambrosio and N. Lieven, "A multiple-sensor multiple-target tracking approach for the autotaxi system," in IEEE Intelligent Vehicles Symposium, Italy, 2004.
3. Z. Ding and L. Hong, "Development of a distributed IMM algorithm for multi-platform multi-sensor tracking," in International Conference on Multisensor Fusion and Intergration for Intelligent Systems, USA, 1996.
4. Y. Bar-Shalom and T. E. Fortmann, Tracking and data association. San Diego: Academic Press, 1988.
5. D. Reid, "An algorithm for tracking multiple targets," IEEE Transaction Automatic Control, vol. 24, no. 6, pp. 84-90, 1979.
6. K. Chang, C. Chong, and Y. Bar-Shalom, "Joint probabilistic data association in distributed sensor networks," IEEE Transaction on Automatic Control, vol. 31, no. 10, 1986.
7. L. Y. Pao and S. D. O'Neil, "Multisensor fusion algorithms for tracking," in Proceeding of American Control Conference, USA, 1993.
8. L. Cheny, M. J. Wainwright, M. Cetiny, and A. S. Willsky, "Multitarget-multisensor data association using the tree-reweighted max-product algorithm," in SPIE AeroSense Conference, USA, 2003.
9. R. Mahler, "Multi-target Bayes filtering via first-order multi-target moments," IEEE Trans. on Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1152-1178, 2003.
10. B. N. Vo, S. Singh, and A. Doucet, .Sequential Monte Carlo methods for Bayesian multi-target filtering with random finite sets,. IEEE Trans. Aerospace and Electronic Systems, vol. 41, no. 4, pp. 1224.1245, Oct 2005.
11. T. Zajic and R. Mahler, "A particle system implement of the PHD multitarget tracking filter," in Signal Processing, Sensor Fusion and target Recognition XII, SPIE Proc, 2003, pp. 291-299.
12. B. N. Vo and W. K. Ma, "The Gaussian mixture probability hypothesis density filter," IEEE Transaction Signal Processing, vol. 54, no. 11, 2006.
13. W. K. Ma, B. Vo, S. Singh, and A. Baddeley, "Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach," IEEE Trans Signal Processing, vol. 54, no. 9, 2006.
14. B. N. Vo, S. Singh, and W. K. Ma, "Tracking multiple speakers with random sets," in ICASSP, Montreal, Canada, 2004.
15. J. M. Valin, F. Michaud, , and J. Rouat, "Robust 3D localization and tracking of sound sources using beamforming and particle filtering," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP-06), France, 2006.
16. J. Allen and D. Berkley, "Image method for efficiently simulating small room acoustic," Journal of the Acoustical Society of America, vol. 65, pp. 943.950, 1979.