Dual Camera Zoom Control: A Study of Zoom Tracking Stability

In a surveillance system, a camera operator follows an object of interest by moving the camera, then gains additional information about the object by zooming. As the active vision field advances, the ability to automate such a system is nearing fruition. One hurdle limiting the use of object recognition algorithms in real-time systems is the quality of captured imagery; recognition algorithms often have strict scale and position requirements where if those parameters are not met, the performance rapidly degrades to failure. The goal of this work is to create a system that provides scale-invariant tracking using inexpensive off-the-shelf components.