Determining image quality for improving object trackability
First Claim
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.
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Abstract
A method and system are provided. In one embodiment, a video image is preprocessed from a video camera to separate objects to be tracked from the rest of the video image. Statistics for the tracked objects and the rest of the video image are computed. Further, a quality measure based on the statistics for the tracked objects and the rest of the video image are generated. The quality measure indicates the suitability of the video image for use by an object tracking system. The generating of the quality measure maximizes saturation of each of the tracked objects. Further, the video camera is tuned to increase the quality measure beyond a threshold.
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Citations
20 Claims
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1. A method comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system comprising:
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a storage device; and
a processor coupled to the storage device, the processor to preprocess 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, generate 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
tune the video camera to increase the quality measure beyond a threshold. - View Dependent Claims (12, 13, 14)
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15. A machine-readable medium having stored thereon data representing sets of instructions, the sets of instructions which, when executed by a machine, cause the machine to:
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preprocess 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;
generate 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
tune the video camera to increase the quality measure beyond a threshold. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification