@article{(Open Science Index):https://publications.waset.org/pdf/6178,
	  title     = {Multiple Sensors and JPDA-IMM-UKF Algorithm for Tracking Multiple Maneuvering Targets},
	  author    = {Wissem Saidani and  Yacine Morsly and  Mohand Saïd Djouadi},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we consider the problem of tracking
multiple maneuvering targets using switching multiple target motion
models. With this paper, we aim to contribute in solving the problem
of model-based body motion estimation by using data coming from
visual sensors. The Interacting Multiple Model (IMM) algorithm is
specially designed to track accurately targets whose state and/or
measurement (assumed to be linear) models changes during motion
transition. However, when these models are nonlinear, the IMM
algorithm must be modified in order to guarantee an accurate track.
In this paper we propose to avoid the Extended Kalman filter because
of its limitations and substitute it with the Unscented Kalman filter
which seems to be more efficient especially according to the
simulation results obtained with the nonlinear IMM algorithm (IMMUKF).
To resolve the problem of data association, the JPDA
approach is combined with the IMM-UKF algorithm, the derived
algorithm is noted JPDA-IMM-UKF.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {1},
	  number    = {10},
	  year      = {2007},
	  pages     = {1494 - 1499},
	  ee        = {https://publications.waset.org/pdf/6178},
	  url   	= {https://publications.waset.org/vol/10},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 10, 2007},
	}