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US 6,556,708 B1Granted
Technique for classifying objects within an image
AssigneeCompaq Computer Corporation
InventorsAndrew Dean Christian, Brian Lyndall Avery
Life of this patent
Estimating the term…
Abstract
A technique for classifying objects within an image is disclosed. In one embodiment, the technique is realized by identifying a portion of an image, and then filtering the portion of the image based upon an object characteristic and a reference within the image. The image can be a representation of a plurality of pixels, wherein at least some of the plurality of pixels are enabled to represent the identified portion of the image. The reference can be one of a reference plane or a terrain within the image.
Claims16
A method of image management comprising the steps of:
- storing a plurality of source images;
- dividing the plurality of source images into a first subset of the plurality of source images and a second subset of the plurality of source images;
- selecting the first subset of the plurality of source images;
- forming a background image using the selected first subset of the plurality of source images;
- comparing a first source image included in the second subset of the plurality of source images with the formed background image, wherein the first source image is not included with the first subset of the plurality of images;
- responsive to comparing the first source image with the formed background image, identifying object images included in the first source image;
- and applying a differencing algorithm further comprises the steps of;
- computing a Y-mask image;
- computing a UV-mask image;
- comparing the Y-mask image and the UV-mask image;
- and
- computing a YUV mask image responsive to the step of comparing the Y-mask image and the UV-mask image;
- using a known position and orientation of a video camera that has captured the plurality of source images to determine first object characteristics of the object images identified;
- determining second object characteristics, the characteristics including size, shape and ratio of width to height;
- applying a filter to determine if at least one of the first object characteristics of the identified object images corresponds with one second object characteristic;
- selecting an identified object when the first object characteristic of the identified object image corresponds with the second object characteristic;
- tracking the identified object through a second source image wherein the second source image is included in the second subset of the plurality of source images;
- and
- updating the background image by including therein the first and the second source images less the identified object.
16 more elements
An apparatus for image management comprising:
- at least one processor;
- a storage device connected to the at least one processor, the storage device containing a plurality of instructions readable by the at least one processor to thereby cause the at least one processor to operate to:
- store a plurality of source images;
- divide the plurality of source images into a first subset of the plurality of source images and a second subset of the plurality of source images;
- select the first subset of the plurality of source images;
- form a background image using the selected first subset of the plurality of source images;
- compare a first source image included in the second subset of the plurality of source images with the formed background image, wherein the first source image is not included with the first subset of the plurality of images;
- and the instructions contained on the storage device are configured to cause the processor to:
- compute a Y-mask image;
- compute a UV-mask image;
- compare the Y-mask image and the UV-mask image;
- and
- compute a YUV mask image responsive to the step of comparing the Y-mask image and the UV-mask image;
- responsive to the comparison of the first source image with the formed background image, identify object images included in the first source image;
- a video camera to capture the plurality of source images that are stored, the video camera having known position and orientation that are used to determine first object characteristics of the object images identified;
- determine second object characteristics, the characteristics including size, shape and ratio of width to height;
- the processor then operates to apply a filter to determine if at least one of the first object characteristics of the identified object image corresponds with a second object characteristic;
- select an identified object image when the first object characteristic of the identified object image corresponds with the second object characteristic;
- track the identified object image through a second source image wherein the second source image is included in the second subset of the plurality of source images, and update the background by including therein the first and the second source images less the identified object.
16 more elements
Dependencies are inferred from the claim text.