Image identification method and image identification device
AssigneeVivotek Inc.
InventorHsun-Shun Yu
Life of this patent
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Abstract
An image identification method capable of preventing identification accuracy from affecting by illumination change is applied to an image identification device. The image identification method includes acquiring a first monitoring image and a second monitoring image respectively captured before and after the illumination change, dividing the first monitoring image and the second monitoring image into a plurality of areas, computing a pixel difference between each area of the second monitoring image and a corresponding area of the first monitoring image, setting pixel difference of the plurality of areas as at least one group, and determining whether to filter an area related to the at least one group according to distributed concentration of the at least one group.
Claims20
An image identification method of preventing identification accuracy from being affected by illumination change, comprising:
- acquiring a first monitoring image and a second monitoring image respectively captured before and after the illumination change;
- dividing the first monitoring image and the second monitoring image respectively into a plurality of areas;
- computing pixel difference between each area of the second monitoring image and a corresponding area of the first monitoring image;
- classifying the pixel difference corresponding to the plurality of areas into at least one group;
- and
- determining whether an area related to the at least one group is filtered according to distributed concentration of the at least one group.
An image identification device with a function of preventing identification accuracy from being affected by illumination change, the image identification device comprising:
- an image receiver adapted to receive a plurality of monitoring images;
- and
- an operation processor electrically connected with the image receiver and adapted to acquire a first monitoring image and a second monitoring image respectively captured before and after the illumination change, divide the first monitoring image and the second monitoring image respectively into a plurality of areas, compute pixel difference between each area of the second monitoring image and a corresponding area of the first monitoring image, classify the pixel difference corresponding to the plurality of areas into at least one group, and determine whether an area related to the at least one group is filtered according to distributed concentration of the at least one group, for excluding some area within the monitoring image having the illumination change but without foreground variation.
Dependencies are inferred from the claim text.