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Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers

The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance, if the monitor is appointed for human face tracking, the best system appears to be concentrating on human face only and all the others considered being background, the background regions needn't to be recorded in detail. For this purpose, this letter presents a real-time foveate storage system, which efficiently represents the video image in log-polar coordinates, with the foveate point centered on the target; the system not only works for single target, but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance; the low reconstruction resolution in the periphery helps to reduce the video data.