Title :
Interacting multipattern data association (IMPDA) for dim target tracking
Author :
Hong, Lang ; Cui, Ningzhou ; Cong, Shan ; Wicker, Devert
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
Presents an approach for detecting and tracking dim targets using multiple patterns extracted from measurement sequences. The introduction of patterns leads to a new paradigm of developing high performance algorithms. A powerful data association algorithm-interacting multipattern data association (IMPDA) is developed. The IMPDA algorithm detects dim targets earlier and is robust to data eclipsing
Keywords :
discrete wavelet transforms; filtering theory; high-pass filters; low-pass filters; sequences; target tracking; dim target tracking; high performance algorithms; interacting multipattern data association; measurement sequences; Data mining; Defense industry; Electric variables measurement; Laboratories; Object detection; Personal digital assistants; Robustness; Target recognition; Target tracking; Toy industry;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760775
