25 October 1993 Object tracking through adaptive correlation
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Abstract
Current U.S. Air Force interests include a desire to track an object based on its shape once it has been designated as a target. This paper discusses the use of a correlation based system to track an object through a series of images based on templates derived from previous image frames. The ability to track is extended to sequences which include multiple objects of interest within the field of view. This is accomplished by comparing the height and shape of the template autocorrelation to the peaks in the correlation of the template with the next scene. The result is to identify the region in the next scene which best matches the designated target. In addition to correlation plane postprocessing, an adaptive window is used to determine the template size in order to reduce the effects of correlator walk-off. The image sequences used were taken from a Forward Looking Infrared (FLIR) sensor mounted onboard a DC-3 aircraft. The images contain a T-55 tank and both an M-113 and a TAB-71 armored personnel carrier moving in a columnized formation along a dirt road. The goals of this research were to (1) track targets in the presence of other, and sometimes brighter, targets of similar shape; (2) to maintain small tracking errors; and (3) to reduce the effects of correlator walk-off.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dennis A. Montera, Steven K. Rogers, Dennis W. Ruck, Mark E. Oxley, "Object tracking through adaptive correlation", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160301; https://doi.org/10.1117/12.160301
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