1. A method comprising: preprocessing a video image from a video camera to separate one or more objects to be tracked from the rest of the video image and compute statistics for the one or more objects to be tracked and the rest of the video image; generating a quality measure based on the statistics for the one or more objects to be tracked and the rest of the video image that indicates the suitability of the video image for use by an object tracking system, wherein the generating of the quality measure maximizes saturation of each of the one or more objects to be tracked; and tuning the video camera to increase the quality measure beyond a threshold.