Title :
Jump-diffusion processes in tracking/recognition
Author :
Sworder, D.D. ; Boyd, J.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fDate :
1/1/1998 12:00:00 AM
Abstract :
Advances in sensor technology permit more sophisticated tracking/identification algorithms to be implemented. This correspondence compares and contrasts the modeling framework employed in two recent image-enhanced trackers and generalizes one of them (the PME) for use in target identification
Keywords :
adaptive filters; array signal processing; identification; motion estimation; nonlinear filters; sensor fusion; target tracking; tracking filters; identification algorithms; image-enhanced trackers; jump-diffusion processes; modeling framework; nonlinear filters; recognition; sensor technology; target identification; tracking; Acceleration; Differential equations; Filtration; Image sensors; Nonlinear filters; Sensor phenomena and characterization; State-space methods; Stochastic processes; Target recognition; Target tracking;
Journal_Title :
Signal Processing, IEEE Transactions on
