Date of Award
3-2006
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Juan R. Vasquez, PhD
Abstract
Dismounted targets can be tracked in urban environments with video sensors. Real-time systems are unable to process all of the imagery, demanding some method for prioritization of the processing resources. Furthermore, various segmentation algorithms exist within image processing, each algorithm possesses unique capabilities, and each algorithm has an associated computational cost. Additional complexity arises in the prioritization problem when targets become occluded (e.g., by a building) and when the targets are intermixed with other dismounted entities. This added complexity leads to the question "which portions of the scene warrant both low cost and high cost processing?" The approach presented in this thesis is to apply multi-target tracking techniques in conjunction with an integer programming optimization routine to determine optimal allocation of the video processing resources. This architecture results in feedback from the tracking routine to the image processing function which in turn enhances the ability of the tracker.
AFIT Designator
AFIT-GE-ENG-06-13
DTIC Accession Number
ADA449919
Recommended Citation
Champion, Jonathan P., "Image Processing Resource Allocation Methods for Multi-Target Tracking of Dismounted Targets in Urban Environments" (2006). Theses and Dissertations. 3311.
https://scholar.afit.edu/etd/3311