Paper
7 June 1996 Coordinated objective/subjective estimation approach to multitarget tracking
Jason E. Lechak, Richard A. Jones
Author Affiliations +
Abstract
A novel method for a multitarget detection and measurement system based on the coordination of objective and subjective estimation (COSE) is described. This system is composed of three components in cascade. The first stage implements available objective knowledge, namely target position and velocity, to form a subset of statistically likely target solutions via validation. The second stage of the system utilizes available heuristic (subjective) information, namely return area and brightness, to form a smaller subset of returns. The returns in this subset are similar to the target in terms of area and brightness. If only one return is available in this subset, it is chosen as the true target. If more than one return is available in this similar subset,the third state implements a minimum azimuth angle criterion, in which the return yielding the smallest azimuth angle between itself and the target's predicted position vector is selected as the true target. The causes and effects of clutter returns are described. Simulated target tracks are performed and discussed. Finally, the COSE algorithm is applied to a sequence of forward-looking infrared images provided by Texas Instruments, Inc. The results obtained will be subjectively compared to results of other tracking algorithms.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason E. Lechak and Richard A. Jones "Coordinated objective/subjective estimation approach to multitarget tracking", Proc. SPIE 2739, Acquisition, Tracking, and Pointing X, (7 June 1996); https://doi.org/10.1117/12.241924
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Filtering (signal processing)

Error analysis

Detection and tracking algorithms

Forward looking infrared

Target acquisition

Environmental sensing

Image processing

Back to Top