Title :
Discrete-time point process filter for image-based target mode estimation
Author :
Yang, Chun ; Bar-Shalom, Yaakov
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
Abstract :
The tracking and prediction of a maneuvering target can be improved by using additional (and unconventional) measurements of its apparent features (target modes), typically provided by an image sensor-processor. A model for the image-based observation channel in discrete time is presented, and a multidimensional point process filter for target mode estimation is obtained by making use of discrete-time point process theory. The filter´s utilization is illustrated by simulation examples
Keywords :
filtering and prediction theory; picture processing; radar theory; tracking; discrete-time point process theory; image sensor-processor; image-based observation channel; image-based target mode estimation; maneuvering target; multidimensional point process filter; Acceleration; Aircraft; Computed tomography; Filters; Gaussian noise; Image edge detection; Multidimensional systems; Optical imaging; Systems engineering and theory; Target tracking;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.204030
