Title :
A sequential detection approach to target tracking
Author :
Blostein, Steven D. ; Richardson, Haydn S.
Author_Institution :
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
fDate :
1/1/1994 12:00:00 AM
Abstract :
Sequential hypothesis testing is investigated for multiframe detection and tracking of low-observable maneuvering point-source targets in a digital image sequence. The proposed multiple multistage hypothesis test tracking (MMHTT) algorithm extends tracks formed from sequentially detected target trajectory segments using a multiple hypothesis tracking strategy. The MMHTT algorithm does not require a probabilistic larger maneuver model. Computational efficiency is achieved by using a truncated sequential probability ratio test (SPRT) to prune a dense tree of candidate target trajectories and score the detected trajectory segments. An analytical performance evaluation is presented and confirmed by experimental results from an optical satellite tracking application
Keywords :
image processing; probability; signal detection; tracking systems; analytical performance evaluation; computational efficiency; detected trajectory segments; digital image sequence; low-observable maneuvering point-source targets; multiframe detection; multiple multistage hypothesis test tracking; optical satellite tracking; sequential detection; sequential hypothesis testing; sequentially detected target trajectory; target tracking; tracking; truncated sequential probability ratio test; Background noise; Image sequences; Intelligent robots; Matched filters; Noise level; Object detection; Sequential analysis; Signal to noise ratio; Surveillance; Target tracking; Trajectory;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on