Comparison of Image Processing Resource Allocation for Multi-Target Tracking of Dismounted Targets

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 pos...

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Bibliographic Details
Main Authors: Champion, J.P., Vasquez, J.R.
Format: Conference Proceeding
Language:English
Subjects:
Computational efficiency
Costs
Feedback
Image processing
Image segmentation
integer programming
Layout
Linear programming
Real time systems
resource allocation
Resource management
Target tracking
Tracking
urban dismount
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Summary: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 (i.e., 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 paper 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
DOI:10.1109/ICIF.2006.301703