Title :
Design of 3D optimal FIR filters for detecting linear trajectory signal using object shape and velocity vector
Author :
Kondo, K. ; Hamada, N.
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
fDate :
8/15/1996 12:00:00 AM
Abstract :
A proposed design method for optimal FIR filters enhances moving objects with a specific velocity vector from other moving objects and noise. A stochastic process approach is applied to the problem using a priori information of signals and the probability distribution of velocity vectors
Keywords :
FIR filters; multidimensional digital filters; object detection; probability; stochastic processes; 3D optimal FIR filters; linear trajectory signal; moving objects; object shape; probability distribution; stochastic process approach; velocity vector;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19961064
